{"product_id":"natural-language-processing-crash-course-for-beginners-theory-and-applications-of-nlp-using-tensorflow-2-0-and-keras-paperback","title":"Natural Language Processing Crash Course for Beginners","description":"\u003cp\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eNatural Language Processing Crash Course for Beginners\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"margin: 0px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eArtificial Intelligence (AI) isn't the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI, enables machines to learn by themselves. Deep Learning (DL), a subfield of Machine Learning, uses algorithms that are inspired by the functioning of the human brain. Natural Language Processing (NLP) combines computational linguistics and Artificial Intelligence, enabling computers and humans to communicate seamlessly. And NLP is immensely powerful and impactful as every business is looking to integrate it into their day to day dealings.\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eHow Is This Book Different?\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eThis book by AI Publishing is carefully crafted, giving equal importance to the theoretical concepts as well as the practical aspects of natural language processing. In each chapter of the second half of the book, the theoretical concepts of different types of deep learning and NLP techniques have been covered in-depth, followed by practical examples. You will learn how to apply different NLP techniques using the TensorFlow and Keras libraries for Python. Each chapter contains exercises that are designed to evaluate your understanding of the concepts covered in that chapter. Also, in the \u003cem\u003eResources \u003c\/em\u003esection of each chapter, you can access the Python notebook. The author has also compiled a list of hands-on NLP projects and competitions that you can try on your own. The main benefit of purchasing this book is you get immediate access to all the extra learning material presented with this book--Python codes, exercises, PDFs, and references--on the publisher's website without having to spend an extra cent. You can download the datasets used in this book at runtime, or you can access them in the \u003cem\u003eResources\/Datasets\u003c\/em\u003e folder.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eThe author holds your hand through everything. He provides you a step by step explanation of the installation of the software needed to implement the various NLP techniques in this book. You can start experimenting with the practical aspects of NLP right from the beginning.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eEven if you are new to Python, you'll find the ultra-short course on Python programming language in the second chapter immensely helpful. You get all the codes and datasets with this book. So, if you have access to a computer with the internet, you can get started.\u003c\/p\u003e\u003cp style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eThe topics covered include:\u003c\/p\u003e\u003cul style=\"margin-top: 0px; margin-right: 0px; margin-left: 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\" margin-bottom:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eWhat is Natural Language Processing?\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eEnvironment Setup and Python Crash Course\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eIntroduction to Deep Learning\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eText Cleaning and Manipulation\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eCommon NLP Tasks\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eImporting Text Data from Various Sources\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eWord Embeddings: Converting Words to Numbers\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eIMDB Movies Sentimental Analysis\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eHam and Spam Message Classification\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eText Summarization and Topic Modeling\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eText Classification with Deep Learning\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eText Translation Using Seq2Seq Model\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eState of the Art NLP with BERT Transformers\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eHands-on NLP Projects\/Articles for Practice\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eExercise Solutions\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003e \u003c\/p\u003e\u003cp style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003e\u003cstrong\u003eAbout The Author\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003e\u003cspan style=\"color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003eAt AI Publishing\u003c\/strong\u003e  we believe that learning has no limits. This is why we've stepped up and established our publishing services.\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box; color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003eOur books series address the needs of students, beginners, newcomers, business owners, start ups or anyone who has an interest in learning everything about Data Science, AI, Machine learning and Statistics.\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box; color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003eDeveloped by the experts, working at tech giants, our book series is written in an unconventional manner, keeping the complexity out of the equation so that readers can start practicing with ease.\u003c\/span\u003e\u003c\/p\u003e","brand":"AI PUBLISHING","offers":[{"title":"Default Title","offer_id":50506183573574,"sku":"9781734790139","price":2572.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61NN4psDhZL.jpg?v=1790322291","url":"https:\/\/cb-india.com\/products\/natural-language-processing-crash-course-for-beginners-theory-and-applications-of-nlp-using-tensorflow-2-0-and-keras-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}