{"title":"AI, ML \u0026 Data Science","description":"\u003cp\u003eDiscover e-books and digital resources on Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Analytics.\u003c\/p\u003e","products":[{"product_id":"9781593275327-lego-mindstorms-ev3-discovery-books-a-beginners-guide-to-building-and-programming-robots","title":"LEGO MINDSTORMS EV3 Discovery Book","description":"\u003cp\u003eLEGO MINDSTORMS has changed the way we think about robotics by making it possible for anyone to build real, working robots. The latest MINDSTORMS set, EV3, is more powerful than ever, and \u003ci\u003eThe LEGO MINDSTORMS EV3 Discovery Book\u003c\/i\u003e is the complete, beginner-friendly guide you need to get started.\u003cbr style=\"font-family: Arial, sans-serif; line-height: 22.4px;\"\u003e\u003cbr style=\"font-family: Arial, sans-serif; line-height: 22.4px;\"\u003eBegin with the basics as you build and program a simple robot to experiment with motors, sensors, and EV3 programming. Then you'll move on to a series of increasingly sophisticated robots that will show you how to work with advanced programming techniques like data wires, variables, and custom-made programming blocks. You'll also learn essential building techniques like how to use beams, gears, and connector blocks effectively in your own designs.\u003cbr style=\"font-family: Arial, sans-serif; line-height: 22.4px;\"\u003e\u003cbr style=\"font-family: Arial, sans-serif; line-height: 22.4px;\"\u003eMaster the possibilities of the EV3 set as you build and program:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe EXPLOR3R, a wheeled vehicle that uses sensors to navigate around a room and follow lines\u003c\/li\u003e\n\u003cli\u003eThe FORMULA EV3 RACE CAR, a streamlined remote-controlled race car\u003c\/li\u003e\n\u003cli\u003eANTY, a six-legged walking creature that adapts its behavior to its surroundings\u003c\/li\u003e\n\u003cli\u003eSK3TCHBOT, a robot that lets you play games on the EV3 screen\u003c\/li\u003e\n\u003cli\u003eThe SNATCH3R, a robotic arm that can autonomously find, grab, lift, and move the infrared beacon\u003c\/li\u003e\n\u003cli\u003eLAVA R3X, a humanoid robot that walks and talks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"text-align: justify;\"\u003eMore than 150 building and programming challenges throughout encourage you to think creatively and apply what you've learned to invent your own robots. With \u003ci\u003eThe LEGO MINDSTORMS EV3 Discovery Book\u003c\/i\u003e as your guide, you'll be building your own out-of-this-world creations in no time!\u003c\/p\u003e\u003ch3\u003eAbout the Author\u003c\/h3\u003e\u003cp\u003eLaurens Valk is a member of the MINDSTORMS Community Partners, a select group of MINDSTORMS enthusiasts who help test and develop new MINDSTORMS products. One of his robot designs is featured on the EV3 packaging as a bonus project. His previous work, the best-selling LEGO MINDSTORMS NXT 2.0 Discovery Book, introduced tens of thousands of beginners worldwide to the powerful world of LEGO MINDSTORMS robotics. He blogs about robots at \u003ci\u003erobotsquare.com\u003c\/i\u003e.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of contents \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart I: Getting Started\u003c\/strong\u003eChapter 1: Preparing Your EV3 SetChapter 2: Building Your First RobotChapter 3: Creating and Modifying ProgramsChapter 4: Working with Programming Blocks: Action BlocksChapter 5: Waiting, Repeating, My Blocks, and Multitasking\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart II: Programming Robots with Sensors\u003c\/strong\u003eChapter 6: Understanding SensorsChapter 7: Using the Color SensorChapter 8: Using the Infrared SensorChapter 9: Using the Brick Buttons and Rotation Sensors\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart III: Robot­-Building Techniques\u003c\/strong\u003eChapter 10: Building with Beams, Axles, Connector Blocks, and MotorsChapter 11: Building with Gears\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart IV: Vehicle and Animal Robots\u003c\/strong\u003eChapter 12: Formula EV3: A Racing RobotChapter 13: ANTY: The Robotic Ant\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart V: Creating Advanced Programs\u003c\/strong\u003eChapter 14: Using Data WiresChapter 15: Using Data Operations Blocks and My Blocks with Data WiresChapter 16: Using Constants and VariablesChapter 17: Playing Games on the EV3   \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePart VI: Machine and Humanoid Robots\u003c\/strong\u003eChapter 18: The SNATCH3R: The Autonomous Robotic ArmChapter 19: LAVA R3X: The Humanoid That Walks and Talks\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAppendix A\u003c\/b\u003e Troubleshooting Programs, the EV3 Brick, and Wireless Connections\u003cb\u003eAppendix B\u003c\/b\u003e Creating On-Brick Programs\u003c\/p\u003e\u003cp\u003eView the detailed \u003ca href=\"https:\/\/nostarch.com\/download\/EV3DB_toc-detail.pdf\"\u003eTable of Contents\u003c\/a\u003e (PDF).View the \u003ca href=\"https:\/\/nostarch.com\/download\/EV3DB_index.pdf\"\u003eIndex\u003c\/a\u003e (PDF).\u003c\/p\u003e","brand":"No Starch Press","offers":[{"title":"Paperback","offer_id":50505599615046,"sku":"9781593275327","price":2927.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50505599647814,"sku":"9781593275327-2","price":2754.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/EV3D_cover_web.png?v=1790312546"},{"product_id":"9781593275334-lego-mindstorms-ev3-laboratory-build-program-and-experiment-with-five-wicked-cool-robots","title":"LEGO MINDSTORMS EV3 Laboratory","description":"\u003cp style=\"text-align: justify;\"\u003eThe LEGO® MINDSTORMS® EV3 set offers so many new and exciting features that it can be hard to know where to begin. Without the help of an expert, it could take months of experimentation to learn how to use the advanced mechanisms and numerous programming features.\u003c\/p\u003e\u003cp style=\"margin-top: 0px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003eIn \u003cem\u003eThe LEGO MINDSTORMS EV3 Laboratory\u003c\/em\u003e, author Daniele Benedettelli, robotics expert and member of the elite LEGO MINDSTORMS Expert Panel, shows you how to use gears, beams, motors, sensors, and programming blocks to create sophisticated robots that can avoid obstacles, walk on two legs, and even demonstrate autonomous behavior. You'll also dig into related math, engineering, and robotics concepts that will help you create your own amazing robots. Programming experiments throughout will challenge you, while a series of comics and countless illustrations inform the discussion and keep things fun.\u003cbr\u003e\u003cbr\u003eAs you make your way through the book, you'll build and program five wicked cool robots:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eROV3R, a vehicle you can modify to do things like follow a line, avoid obstacles, and even clean a room\u003c\/li\u003e\n\u003cli\u003eWATCHGOOZ3, a bipedal robot that can be programmed to patrol a room using only the Brick Program App (no computer required!)\u003c\/li\u003e\n\u003cli\u003eSUP3R CAR, a rear-wheel-drive armored car with an ergonomic two-lever remote control\u003c\/li\u003e\n\u003cli\u003eSENTIN3L, a walking tripod that can record and execute color-coded sequences of commands\u003c\/li\u003e\n\u003cli\u003eT-R3X, a fearsome bipedal robot that will find and chase down prey\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDaniele Benedettelli\u003c\/b\u003e is known worldwide for his original LEGO robots, including his Rubik’s Cube solvers and his humanoid robots. As a LEGO MINDSTORMS Community Partner (MCP), he helps to test and develop new MINDSTORMS products. He earned a master’s degree in Robotics and Automation from the University of Siena in Italy. He holds educational presentations and workshops on Information and Communications Technology around the world and teaches robotics at the high school level.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cstrong\u003eTable of contents \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eChapter 1: Your LEGO MINDSTORMS EV3 Set (PDF)\u003cbr\u003eChapter 2: Building ROV3R\u003cbr\u003eChapter 3: Programming\u003cbr\u003eChapter 4: Advanced Programming with the Brick Program App\u003cbr\u003eChapter 5: EV3 Programming\u003cbr\u003eChapter 6: Experimenting with the EV3 Infrared Components (PDF)\u003cbr\u003eChapter 7: The Math Behind the Magic!\u003cbr\u003eChapter 8: LEGO Recipes\u003cbr\u003eChapter 9: Building WATCHGOOZ3\u003cbr\u003eChapter 10: Programming WATCHGOOZ3\u003cbr\u003eChapter 11: Building the SUP3R CAR\u003cbr\u003eChapter 12: Programming the SUP3R CAR\u003cbr\u003eChapter 13: Building the SENTIN3L\u003cbr\u003eChapter 14: Programming the SENTIN3L\u003cbr\u003eChapter 15: Building the T-R3X\u003cbr\u003eChapter 16: Programming the T-R3X\u003cbr\u003eAppendix A: The EV3 31313 Set Bill of Materials\u003cbr\u003eAppendix B: Differences Between the Education Set and Retail Set\u003cbr\u003eView the Index (PDF)\u003cbr\u003eView the detailed Table of Contents (PDF)\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"No Starch Press","offers":[{"title":"Paperback","offer_id":50505599844422,"sku":"9781593275334","price":2927.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50505599877190,"sku":"9781593275334-2","price":2754.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/ev3lab_cover_web.png?v=1790312554"},{"product_id":"doing-data-science-straight-talk-from-the-frontlin","title":"Doing Data Science: Straight Talk from the Frontlin","description":"\u003cp style=\"text-align: justify;\"\u003eNow that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.\u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003eIn many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.\u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; line-height: 22.4px; text-align: justify; background-color: rgb(255, 255, 255);\"\u003e\u003cstrong\u003eTopics include:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eStatistical inference, exploratory data analysis, and the data science process\u003c\/li\u003e\n\u003cli\u003eAlgorithms\u003c\/li\u003e\n\u003cli\u003eSpam filters, Naive Bayes, and data wrangling\u003c\/li\u003e\n\u003cli\u003eLogistic regression\u003c\/li\u003e\n\u003cli\u003eFinancial modeling\u003c\/li\u003e\n\u003cli\u003eRecommendation engines and causality\u003c\/li\u003e\n\u003cli\u003eData visualization\u003c\/li\u003e\n\u003cli\u003eSocial networks and data journalism\u003c\/li\u003e\n\u003cli\u003eData engineering, MapReduce, Pregel, and Hadoop\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"text-align: justify;\"\u003e\u003ci\u003eDoing Data Science\u003c\/i\u003e is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.\u003c\/p\u003e\u003chr\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505602891846,"sku":"9789351103189","price":1417.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351103189.jpg?v=1790312576"},{"product_id":"machine-learning-for-hackers","title":"Machine Learning for Hackers","description":"\u003cp style=\"text-align: justify;\"\u003e\u003cspan style=\"color: rgb(38, 38, 38);\"\u003eIf you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003cspan style=\"color: rgb(38, 38, 38);\"\u003eEach chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. 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The possibilities are endless, andMakerBot is the fun, affordable, and inspiring way to go.\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;line-height:11.25pt\"\u003e\u003cstrong\u003eGetstarted with your own little factory today!\u003c\/strong\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cul type=\"disc\"\u003e \u003cli class=\"MsoNormal\"\u003eSet up your MakerBot Replicator 2     and understand how it works\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eLearn the basics and print 10     useful objects right away\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eMake objects with sturdy yet     biodegradable PLA\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eGet examples of real-world problem     solving, from ceiling hooks to hermit crab shells\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eChoose from thousands of free     designs on Thingiverse.com—and share your own\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eRepurpose disposable products by     making them part of your design\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eDesign your own 3D objects, using     SketchUp, Autodesk 123D, OpenSCAD, and other tools\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e \u003cli class=\"MsoNormal\"\u003eUse 3D scanning technology to     replicate real objects around you\u003co:p\u003e\u003c\/o:p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e","brand":"SHROFF\/MAKER MEDIA","offers":[{"title":"Default Title","offer_id":50505638740038,"sku":"9789350239766","price":382.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789350239766.jpg?v=1790312790"},{"product_id":"make-an-arduino-controlled-robot","title":"Make An Arduino-Controlled Robot","description":"\u003cp style=\"text-align: justify;\"\u003eBuilding robots that sense and interact withtheir environment used to be tricky. 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Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.\u003cbr\u003e\u003cbr\u003eBarlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWith this anthology, you’ll learn how:\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAnalysts can now get results from their data queries in near real time\u003c\/li\u003e\n\u003cli\u003eIndie manufacturers are blurring the lines between hardware and software\u003c\/li\u003e\n\u003cli\u003eCompanies try to balance their desire for rapid innovation with the need to tighten data security\u003c\/li\u003e\n\u003cli\u003eAdvanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center\u003c\/li\u003e\n\u003cli\u003eCIOs have gradually evolved from order takers to business innovators\u003c\/li\u003e\n\u003cli\u003eNew analytics tools let businesses go beyond data analysis and straight to decision-making\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eMike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.\u003cbr\u003e\u003c\/p\u003e\u003chr\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505644867654,"sku":"9789352132584","price":562.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352132584.jpg?v=1790313024"},{"product_id":"artificial-intelligence-for-students","title":"Artificial Intelligence For Students","description":"\u003cp\u003eThe book covers 14 chapters altogether. The key concept of AI such as intelligent search, propositional and predicate logic, logic programming, knowledge representation schemes, probabilistic reasoning, planning, machine learning, genetic algorithms, fuzzy systems, natural language processing and knowledge acquisition issues are discussed. This book is unique for its simplicity, clarity of presentation, completeness of questions–solution sets and low volume. Appropriate examples with clear line diagrams is another key feature of this book.\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003eHistory and applications of AI are well described in the book. Blind search, heuristic search techniques, MINIMAX algorithm, logic of proposition and predicate, Logic programming are analysed in a simple manner. Semantic net, frame and script are described with suitable examples.\u003co:p\u003e\u003c\/o:p\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"color: rgb(8, 113, 135); font-family: Verdana; font-size: 11px; line-height: 15px; text-align: justify;\"\u003e\u003cstrong\u003eABOUT THE AUTHOR\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSubhasree Bhattacharjee\u003c\/strong\u003e is an Assistant professor in the Department of Computer Application in Narula Institute of Technology, Agarpara, Kolkata. She has completed M.E (IT). from West Bengal University of Technology in the year 2007 and is working in the college from the same year. Her research interest lies in the field of cognitive radio and soft computing techniques to solve different optimization problems. Other than national journal publications, she has published four international journals and fifteen international conference papers. She has worked in different comparative analysis on genetic algorithm, differential evolution algorithm and non-dominated sorting genetic algorithm. Currently her research lies in finding the channel access delay in a distributed cognitive radio network using CSMA\/CA and its variants.\u003c\/p\u003e","brand":"Shroff\/The X Team","offers":[{"title":"Default Title","offer_id":50505645326406,"sku":"9789352133536","price":517.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352133536256.jpg?v=1790313041"},{"product_id":"programming-robots-with-ros-a-practical-introduction-to-the-robot-operating-system","title":"Programming Robots with ROS: A Practical Introduction to the Robot Operating System","description":"\u003cp\u003eWant to develop novel robot applications, but don’t know how to write a mapping or object-recognition system? You’re not alone, but you’re certainly not without help. 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If you’re familiar with Python, you’re ready to go.\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn fundamentals, including key ROS concepts, tools, and patterns\u003c\/li\u003e\n\u003cli\u003eProgram robots that perform an increasingly complex set of behaviors, using the powerful packages in ROS\u003c\/li\u003e\n\u003cli\u003eSee how to easily add perception and navigation abilities to your robots\u003c\/li\u003e\n\u003cli\u003eIntegrate your own sensors, actuators, software libraries, and even a whole robot into the ROS ecosystem\u003c\/li\u003e\n\u003cli\u003eLearn tips and tricks for using ROS tools and community resources, debugging robot behavior, and using C++ in ROS\u003c\/li\u003e\n\u003c\/ul\u003e\u003chr\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505645981766,"sku":"9789352132799","price":1350.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352132799.jpg?v=1790313064"},{"product_id":"978-9351105015-artificial-intelligence-a-rational-approach-9351105016","title":"Artificial Intelligence: A Rational Approach","description":"\u003cp style=\"text-align: justify;\"\u003eThe book\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cstrong\u003e“ArtificialIntelligence”\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e isprimarily intended to serve as a textbook for undergraduate \u0026amp; postgraduateengineering students. The book covers syllabus prescribed by most Indianuniversities and institutes.\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003eThis book providesknowledge in a simple and systematic manner.\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eWhat Readers can Expect from this Book\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003eThe book is written asa concise textbook with some noticeable features.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e(a) Unified theme of presentation:\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e The book presents an integrated approach bydemonstrating their inter-relationship between chapters of diverse thoughts.The Readers who do not have enough background can take advantage and are notmisled with the concept. Readers will enjoy the book especially for itstotality with an ultimate aim to build intelligent machines.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e(b) Comprehensive coverage of the mathematical models:\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e The book provides a comprehensivecoverage of the mathematical models on artificial intelligence. At graduatelevel students face much difficulty in studying from research papers andjournals. The book bridges the potential gap between the textbooks and researchpapers.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e(c) Concise \u0026amp; independent chapters:\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e Readers can easily follow the bookbecause it is written in a concise manner. Many chapters contain plenty ofexamples to illustrate well-selected materials. This can help the reader tofocus on the materials of particular interest. The author has tried to makeeach chapter independent (although chapters or sections may cite each other).\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e(d) Line Diagrams:\u003c\/strong\u003e\u003cspan class=\"apple-converted-space\"\u003e The book includes around 190 line diagrams togive the readers a better insight to the subject. Readers will enjoy the bookfor they directly get a deeper view of the subject through diagrams with aminimal reading of the text.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e(e) Examples:\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003c\/strong\u003eThe book contains solved example problems, review questions,and exercise problems. A list of review questions is attached with eachchapter.\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eHow to Use This Book:\u003co:p\u003e\u003c\/o:p\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"text-align: justify;\"\u003eThe book has beenwritten keeping the interest of students in mind and integrates the underlyingtechnical aspects and subsequent research aspects. Students should read fromthe first chapter to the last chapter, then pick whatever you like to read asper your syllabus. You should make a serious effort to answer the self-examinationquestions and do other assignments given by the instructor. 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Ltd.","offers":[{"title":"Default Title","offer_id":50505650634822,"sku":"9789351105015","price":807.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351105015.jpg?v=1790313287"},{"product_id":"978-9351103738-natural-language-annotation-for-machine-learning-9351103730","title":"Natural Language Annotation for Machine Learning","description":"\u003cp style=\"text-align: justify;\"\u003eCreate your own natural language trainingcorpus for machine learning. Whether you’re working with English, Chinese, orany other natural language, this hands-on book guides you through a provenannotation development cycle—the process of adding metadata to your trainingcorpus to help ML algorithms work more efficiently. 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Technologies have advanced to the point of mass commercialization -- Roomba, for example -- and adoption by governments -- most notably, their use of drones. Meanwhile, these devices are being received by a public whose main sources of information about robots are the fantasies of popular culture. We know a lot about C-3PO and Robocop but not much about Atlas, Motoman, Kiva, or Beam -- real-life robots that are reinventing warfare, the industrial workplace, and collaboration. 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Given these profound changes to human work and life, Jordan argues that robotics is too important to be left solely to roboticists.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout The Author\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-size: small; font-family: \" amazon ember arial sans-serif\u003eJohn M. Jordan is Clinical Professor of Supply Chain and Information Systems in Smeal College of Business at Penn State University. 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However, in order to follow the integratedtreatment of the materials, it is recommended to the reader to read the wholebook, with emphasis on the chapters of their specific interest.\u003cspan class=\"apple-converted-space\"\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe chapters contain plenty of examples to illustrate well-selected materials.This can help the reader to focus on the materials of particular interest.Although intended for real-world applications, examples in this book are madesimple so that readers can follow the various basic ideas discussed.\u003c\/li\u003e\n\u003cli\u003eThe book will benefit the students from different disciplines and can beused at various levels with different streams.\u003c\/li\u003e\n\u003cli\u003eThe book contains solved example problems, review questions, and exerciseproblems. 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You may not be able do much in a regularsemester, but you may elaborate on your findings for your thesis or graduateproject (if you are so interested).\u003cbr\u003e\u003c\/p\u003e\u003chr\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Shroff Publishers \u0026 Distributors Pvt. Ltd.","offers":[{"title":"Default Title","offer_id":50505862709318,"sku":"9789351101758","price":297.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789351101758.jpg?v=1790315551"},{"product_id":"enterprise-architecture-reimagined-a-concise-guide-to-constructing-an-artificially-intelligent-enterprise","title":"Enterprise Architecture Reimagined: A Concise Guide to Constructing an Artificially Intelligent Enterprise","description":"\u003cp\u003eSince the early 1990s, it has become convenient and customary to divide enterprise architecture into four architectural domains: business, applications, data and technology. 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Ltd., a wholly owned subsidiary of the US-based Broadridge Financial Solutions Inc. (BR). She has close to 14 years of rich hands-on experience in the IT services space. 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With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. \u003cbr\u003e\u003cbr\u003eWhile this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides a background in big data and data engineering before moving on to data science and how it's applied to generate value\u003c\/li\u003e\n\u003cli\u003eIncludes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL\u003c\/li\u003e\n\u003cli\u003eExplains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things\u003c\/li\u003e\n\u003cli\u003eDetails data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIt's a big, big data world out there—let \u003ci\u003eData Science For Dummies\u003c\/i\u003e help you harness its power and gain a competitive edge for your organization.\u003c\/p\u003e\u003ch5\u003eAbout the Author\u003c\/h5\u003e\u003cp\u003e\u003cstrong\u003eLillian Pierson, P.E.\u003c\/strong\u003e is a data scientist, professional environmental engineer, and leading data science consultant to global leaders in IT, major governmental and non-governmental entities, prestigious media corporations, and not-for-profit technology groups.\u003cbr\u003e\u003c\/p\u003e","brand":"John Wiley \u0026 Sons","offers":[{"title":"Default Title","offer_id":50505977626694,"sku":"9781119327639","price":2363.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51sJMXcJ19L._SX260.jpg?v=1790317076"},{"product_id":"pattern-recognition-and-machine-learning","title":"Pattern Recognition and Machine Learning (Paperback)","description":"\u003cp\u003e\"This beautifully produced book is intended for advanced undergraduates, PhD students, and researchers and practitioners, primarily in the machine learning or allied areas...A strong feature is the use of geometric illustration and intuition...This is an impressive and interesting book that might form the basis of several advanced statistics courses. It would be a good choice for a reading group.\" \u003cem\u003eJohn Maindonald for the Journal of Statistical Software\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\"In this book, aimed at senior undergraduates or beginning graduate students, Bishop provides an authoritative presentation of many of the statistical techniques that have come to be considered part of ‘pattern recognition’ or ‘machine learning’. … This book will serve as an excellent reference. … With its coherent viewpoint, accurate and extensive coverage, and generally good explanations, Bishop’s book is a useful introduction … and a valuable reference for the principle techniques used in these fields.\" (Radford M. Neal, Technometrics, Vol. 49 (3), August, 2007)\u003c\/p\u003e\u003cp\u003e\"This book appears in the Information Science and Statistics Series commissioned by the publishers. … The book appears to have been designed for course teaching, but obviously contains material that readers interested in self-study can use. It is certainly structured for easy use. … For course teachers there is ample backing which includes some 400 exercises. … it does contain important material which can be easily followed without the reader being confined to a pre-determined course of study.\" (W. R. Howard, Kybernetes, Vol. 36 (2), 2007)\u003c\/p\u003e\u003cp\u003e\"Bishop (Microsoft Research, UK) has prepared a marvelous book that provides a comprehensive, 700-page introduction to the fields of pattern recognition and machine learning. Aimed at advanced undergraduates and first-year graduate students, as well as researchers and practitioners, the book assumes knowledge of multivariate calculus and linear algebra … . SummingUp: Highly recommended. Upper-division undergraduates through professionals.\" (C. Tappert, CHOICE, Vol. 44 (9), May, 2007)\u003c\/p\u003e\u003cp\u003e\"The book is structured into 14 main parts and 5 appendices. … The book is aimed at PhD students, researchers and practitioners. It is well-suited for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bio-informatics. Extensive support is provided for course instructors, including more than 400 exercises, lecture slides and a great deal of additional material available at the book’s web site … .\" (Ingmar Randvee, Zentralblatt MATH, Vol. 1107 (9), 2007)\u003c\/p\u003e\u003cp\u003e\"This new textbook by C. M. Bishop is a brilliant extension of his former book ‘Neural Networks for Pattern Recognition’. It is written for graduate students or scientists doing interdisciplinary work in related fields. … In summary, this textbook is an excellent introduction to classical pattern recognition and machine learning (in the senseof parameter estimation). A large number of very instructive illustrations adds to this value.\" (H. G. Feichtinger, Monatshefte für Mathematik, Vol. 151 (3), 2007)\u003c\/p\u003e\u003cp\u003e\"Author aims this text at advanced undergraduates, beginning graduate students, and researchers new to machine learning and pattern recognition. … Pattern Recognition and Machine Learning provides excellent intuitive descriptions and appropriate-level technical details on modern pattern recognition and machine learning. It can be used to teach a course or for self-study, as well as for a reference. … I strongly recommend it for the intended audience and note that Neal (2007) also has given this text a strong review to complement its strong sales record.\" (Thomas Burr, Journal of the American Statistical Association, Vol. 103 (482), June, 2008)\u003c\/p\u003e\u003cp\u003e\"This accessible monograph seeks to provide a comprehensive introduction to the fields of pattern recognition and machine learning. It presents a unified treatment of well-known statistical pattern recognition techniques. … The book can be used by advanced undergraduates and graduate students … . The illustrative examples and exercises proposed at the end of each chapter are welcome … . The book, which provides several new views, developments and results, is appropriate for both researchers and students who work in machine learning … .\" (L. State, ACM Computing Reviews, October, 2008)\u003c\/p\u003e\u003cp\u003e\"Chris Bishop’s … technical exposition that is at once lucid and mathematically rigorous. … In more than 700 pages of clear, copiously illustrated text, he develops a common statistical framework that encompasses … machine learning. … it is a textbook, with a wide range of exercises, instructions to tutors on where to go for full solutions, and the color illustrations that have become obligatory in undergraduate texts. … its clarity and comprehensiveness will make it a favorite desktop companion for practicing data analysts.\" (H. Van Dyke Parunak, ACM Computing Reviews, Vol. 49 (3), March, \u003c\/p\u003e\u003ch5\u003eAbout the Author\u003c\/h5\u003e\u003cp\u003e\u003cb\u003eChris Bishop\u003c\/b\u003e is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh. \u003cbr\u003e\u003cbr\u003eChris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. 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Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp style=\"margin-top: 0px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);\"\u003eYou’ll start with an introduction to Spark and its ecosystem and then dive into patterns that apply common techniques—including classification, clustering, collaborative filtering and anomaly detection—to fields such as genomics, security and finance.\u003cbr\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 14px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);\"\u003eIf you have an entry-level understanding of machine learning and statistics and you program in Java, Python, or Scala, you’ll find the book’s patterns useful for working on your own data applications.\u003cbr\u003e \u003c\/p\u003e\u003cp style=\"margin-top: -4px; margin-bottom: 0px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);\"\u003eWith this book, you will:\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eFamiliarize yourself with the Spark programming model\u003cbr\u003e\u003cbr\u003eBecome comfortable within the Spark ecosystem\u003cbr\u003e\u003cbr\u003eLearn general approaches in data science\u003cbr\u003e\u003cbr\u003eExamine complete implementations that analyze large public data sets\u003cbr\u003e\u003cbr\u003eDiscover which machine learning tools make sense for particular problems\u003cbr\u003e \u003c\/p\u003e\u003cp\u003eAcquire code that can be adapted to many uses\u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505983426630,"sku":"9789352135714","price":990.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/514URDaPJZL.jpg?v=1790317163"},{"product_id":"978-9352135721-agile-data-science-2-0-building-full-stack-data-analytics-applications-with-spark-9352135725","title":"Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark","description":"\u003cp\u003e\"Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. with the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka and other tools.\u003c\/p\u003e\u003cp\u003e\u003cbr style=\"font-family: Arial, sans-serif;\"\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp style=\"margin-top: 0px; margin-bottom: 0px; padding: 0px; font-family: Arial, sans-serif; background-color: rgb(255, 255, 255);\"\u003eAuthor Russell Jurney demonstrates how to compose a data platform for building, deploying and refining analytics applications with Apache Kafka, MongoDB, Elastic Search, d3.js, scikit-learn and Apache Airflow. 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With a forward by Dave Snell.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Author\u003c\/strong\u003e:\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eJeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master’s Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. 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We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.\u003c\/p\u003e\u003cdiv class=\"a-section a-spacing-extra-large\" id=\"descriptionAndDetails\" style=\"box-sizing: border-box; margin-bottom: 22px; color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif rgb font-size:=\"\" background-color:=\"\"\u003e\u003cdiv class=\"feature\" data-feature-name=\"productDescription\" id=\"productDescription_feature_div\" style=\"box-sizing: border-box;\"\u003e\u003cdiv class=\"a-row feature\" data-feature-name=\"productDescription\" data-template-name=\"productDescription\" id=\"productDescription_feature_div\" style=\"box-sizing: border-box; width: 1227px;\"\u003e\u003cdiv class=\"a-section a-spacing-small prodDescWidth\" id=\"productDescription\" style=\"box-sizing: border-box; margin-top: 0.5em; margin-bottom: 0em; margin-left: 25px; color: rgb(51, 51, 51); word-wrap: break-word; font-size: small; line-height: initial; max-width: 1000px;\"\u003e\u003cdiv aria-live=\"polite\" class=\"a-expander-collapsed-height a-row a-expander-container a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"300\" style=\"box-sizing: border-box; width: 1000px; overflow: hidden; position: relative; margin-bottom: 1em; max-height: 300px;\"\u003e\u003cdiv aria-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\" style=\"box-sizing: border-box; overflow: hidden; position: relative;\"\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em;\"\u003eJeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master’s Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. 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Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet up and running with TensorFlow, rapidly and painlessly\u003c\/li\u003e\n\u003cli\u003eLearn how to use TensorFlow to build deep learning models from the ground up\u003c\/li\u003e\n\u003cli\u003eTrain popular deep learning models for computer vision and NLP\u003c\/li\u003e\n\u003cli\u003eUse extensive abstraction libraries to make development easier and faster\u003c\/li\u003e\n\u003cli\u003eLearn how to scale TensorFlow, and use clusters to distribute model training\u003c\/li\u003e\n\u003cli\u003eDeploy TensorFlow in a production setting\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50505998204998,"sku":"9789352136100","price":855.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352136100.jpg?v=1790317391"},{"product_id":"978-1523865840-robotics-and-quality-assurance-1523865849","title":"Robotics \u0026 Quality Assurance","description":"\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003e\u003c\/strong\u003eRobotics at its best!\u003c\/strong\u003e \u003cstrong\u003eDiscover A Book That Tells You What You Should Do and How!\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; border-width: 0px; border-style: initial; vertical-align: baseline; line-height: 1.45em; margin-top: 0px; margin-bottom: 1em; font-family: \" helvetica neue arial sans-serif rgb background-color:=\"\"\u003eInstead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier.\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; border-width: 0px; border-style: initial; vertical-align: baseline; line-height: 1.45em; margin-top: 0px; margin-bottom: 1em; font-family: \" helvetica neue arial sans-serif rgb background-color:=\"\"\u003eThis way, you’re sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. 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Does it interest you how to achieve this so quickly? \u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eDownload Quality Assurance to discover everything you need to know about testing and software quality!\u003c\/i\u003e\u003ci\u003e\u003c\/i\u003e\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; border-width: 0px; border-style: initial; vertical-align: baseline; line-height: 1.45em; margin-top: 0px; margin-bottom: 1em;\"\u003e\u003ci\u003eStep by step to increase your software skill set. Learn how to dominate computer systems. 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At the end of the book, I share insights and advice on further learning and careers in this space. \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e\u003cstrong\u003eDisclaimer:\u003c\/strong\u003e If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle deep learning and Scikit-learn, you would be well served with a long-format textbook. If, however, you are yet to reach that \u003cstrong\u003eLion King moment\u003c\/strong\u003e - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and offer you a clear lay of the land. \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e\u003ch3 style=\"margin-bottom: 0px; padding-bottom: 4px; font-family: Arial, sans-serif; font-size: 17px; font-weight: normal; line-height: 1.24; color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);\"\u003eIn this step-by-step guide you will learn:\u003c\/h3\u003e- The very \u003cstrong\u003ebasics\u003c\/strong\u003e of Machine Learning that all beginners need to master \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003eAssociation Analysis\u003c\/strong\u003e used in the retail and E-commerce space \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003eRecommender Systems\u003c\/strong\u003e as you've seen online, including Amazon \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003eDecision Trees\u003c\/strong\u003e for visually mapping and classifying decision processes \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003eRegression Analysis\u003c\/strong\u003e to create trend lines and predict trends \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003eData Reduction\u003c\/strong\u003e and \u003cstrong\u003ePrinciple Component Analysis\u003c\/strong\u003e to cut through the noise \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- \u003cstrong\u003ek-means\u003c\/strong\u003e and \u003cstrong\u003ek-nearest Neighbor (k-nn) Clustering\u003c\/strong\u003e to discover new data groupings \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- Introduction to \u003cstrong\u003eDeep Learning\/Neural Networks\u003c\/strong\u003e \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e-\u003cstrong\u003e Bias\/Variance\u003c\/strong\u003e to optimize your machine learning model \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e- How to build your first \u003cstrong\u003emachine learning model\u003c\/strong\u003e to predict house values. \u003cbr style=\"font-family: Arial, sans-serif;\"\u003e\u003cp\u003e- \u003cstrong\u003eCareers\u003c\/strong\u003e in the field\u003c\/p\u003e","brand":"Independently published","offers":[{"title":"Default Title","offer_id":50506021863494,"sku":"9781520951409","price":2820.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/518i-5tJ6gL._SX331_BO1_204_203_200.jpg?v=1790317793"},{"product_id":"driverless-intelligent-cars-and-the-road-ahead-paperback","title":"Driverless: Intelligent Cars and the Road Ahead (Paperback)","description":"\u003cp\u003eIn the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play.\u003c\/p\u003e\u003cp\u003eIn this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road.\u003c\/p\u003e\u003cp\u003eWhen human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next \"Apollo moment.\u003c\/p\u003e\u003ch5\u003eFrom the Author\u003c\/h5\u003e\u003cp aria-expanded=\"false\"\u003eDriverless cars are one of the most-hyped technologies of recent years, so one of our goals in writing this book was to untangle fact and fiction. In clear and jargon-free language, \u003ci\u003eDriverless\u003c\/i\u003e provides an overview of the suite of technologies that make intelligent vehicles possible. We explore the critical role that artificial intelligence (AI) plays in the driverless revolution. In fact, we dedicate an entire chapter to the development and inner machinations of a rapidly emerging sort of AI called \"deep learning\" that has the potential to give robots and machines human-level artificial perception. Another technology-oriented chapter introduces the suite of hardware sensors that feed data to the car's operating system.\u003c\/p\u003e\u003cp\u003eTechnology is just part of the story, however. Any complete tale of self-driving cars must analyze their impact on our daily lives, on businesses, government, and culture. One chapter delves into the way that driverless cars (a software play) will re-arrange the automotive industry (currently not a particularly AI-savvy industry). Another chapter covers the way that thus far, the U.S. federal government has failed to demonstrate the leadership we need. We dig into the surprisingly long and colorful history of self-driving vehicles. We also speculate about the raging torrent of new data that driverless car sensors will generate, and what these new torrents of data will do to our sense of privacy and the way intelligent cars will navigate through traffic-choked city streets.\u003c\/p\u003e","brand":"MIT PRESS","offers":[{"title":"Default Title","offer_id":50506021929030,"sku":"9780262534475","price":1571.92,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51SoZCrgvfL.jpg?v=1790317796"},{"product_id":"developing-analytic-talent-becoming-a-data-scientist-paperback","title":"Developing Analytic Talent: Becoming a Data Scientist (Paperback)","description":"\u003cp\u003e\u003ci\u003eHarvard Business Review\u003c\/i\u003e calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code.\u003c\/p\u003e\u003cp\u003eThe applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. 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