{"product_id":"deep-learning-interviews-2-e","title":"Deep Learning Interviews, 2\/e","description":"\u003cp\u003e\u003cb\u003eThe second edition of Deep Learning Interviews (The Amazon Softcover is printed in B\u0026amp;W)\u003c\/b\u003e is home to \u003cb\u003ehundreds of fully-solved problems, from a wide range of key topics in AI\u003c\/b\u003e. It is designed to both rehearse \u003cb\u003einterview or exam specific topics\u003c\/b\u003e and provide machine learning \u003cb\u003eM.Sc.\/Ph.D. students, and those awaiting an interview a well-organized overview of the field\u003c\/b\u003e. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they’re framed within thought-provoking questions and engaging stories.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThat is what makes the volume so specifically valuable to students and job seekers\u003c\/b\u003e: it provides them with the ability to speak confidently and quickly on any relevant topic, to answer technical questions clearly and correctly, and to fully understand the purpose and meaning of interview questions and answers. Those are powerful, indispensable advantages to have when walking into the interview room.\u003c\/p\u003e\u003cp\u003eThe book’s contents is a large\u003cb\u003e inventory of numerous topics relevant to DL job interviews and graduate level exams\u003c\/b\u003e. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. \u003cb\u003eThis volume is designed as an excellent reference for graduates of such programs.\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\" book=\"\" spans\u003e almost 400 pages\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u0026gt;span class=\"a-list-item\"\u0026gt;Hundreds of \u003cb\u003efully-solved problems\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eProblems from \u003cb\u003enumerous areas of deep learning\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eClear \u003cb\u003ediagrams and illustrations\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eA \u003cb\u003ecomprehensive index\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eStep-by-step solutions to problems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eNot just the answers given,\u003cb\u003e but the work shown\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eNot just the work shown, \u003cb\u003ebut reasoning given where appropriate\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book was written for you:\u003cb\u003e an aspiring data scientist with a quantitative background\u003c\/b\u003e, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job. Even though you have the ability, the background, and the motivation to excel in your target position, you might need some guidance on how to get your foot in the door.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYour curiosity will pull you through the book’s problem sets, formulas, and instructions\u003c\/b\u003e, and as you progress, you’ll deepen your understanding of deep learning. There are intricate connections between calculus, logistic regression, entropy, and deep learning theory; work through the book, and those connections will feel intuitive.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCORE SUBJECT AREAS (VOLUME-I):\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eVOLUME-I of the book focuses on statistical perspectives and blends background fundamentals with core ideas and practical knowledge. There are dedicated chapters on:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eInformation Theory\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eCalculus \u0026amp; Algorithmic Differentiation\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eBayesian Deep Learning \u0026amp; Probabilistic Programming\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eLogistic Regression\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eEnsemble Learning\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eFeature Extraction\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cb\u003eDeep Learning: expanded chapter (100+ pages)\u003c\/b\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThese chapters appear alongside numerous in-depth treatments of topics in Deep Learning with code examples in PyTorch, Python and C++.\u003c\/p\u003e\u003cp\u003e \u003cb\u003eAboutThe Authors\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSHLOMO KASHANI : \u003c\/strong\u003eAs the Chief of Artificial Intelligence at DeepOncology, Shlomo utilized Deep Learning to improve the accuracy of tumour detection beyond the capabilities of human experts. His work, which relied on CNN's, was the culmination of years of applying AI techniques to problems in medical AI. Recently, Shlomo has focused on using Quantum computing to achieve his goals, and he is currently studying quantum physics at JHU.\u003c\/p\u003e","brand":"INTERVIEWS AI","offers":[{"title":"Default Title","offer_id":50506336927814,"sku":"9781916243569","price":5593.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61adOloLPKL._SY425.jpg?v=1790327341","url":"https:\/\/cb-india.com\/products\/deep-learning-interviews-2-e","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}