{"product_id":"python-machine-learning-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2-paperback","title":"Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSebastian Raschka\u003c\/b\u003e (Author), \u003cb\u003eVahid Mirjalili\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eApplied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThird edition of the bestselling, widely acclaimed Python machine learning book\u003c\/li\u003e \u003cli\u003eClear and intuitive explanations take you deep into the theory and practice of Python machine learning\u003c\/li\u003e \u003cli\u003eFully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003ePython Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.\u003cbr\u003e \u003cbr\u003e Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.\u003cbr\u003e \u003cbr\u003e Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.\u003cbr\u003e \u003cbr\u003e This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMaster the frameworks, models, and techniques that enable machines to 'learn' from data\u003c\/li\u003e \u003cli\u003eUse scikit-learn for machine learning and TensorFlow for deep learning\u003c\/li\u003e \u003cli\u003eApply machine learning to image classification, sentiment analysis, intelligent web applications, and more\u003c\/li\u003e \u003cli\u003eBuild and train neural networks, GANs, and other models\u003c\/li\u003e \u003cli\u003eDiscover best practices for evaluating and tuning models\u003c\/li\u003e \u003cli\u003ePredict continuous target outcomes using regression analysis\u003c\/li\u003e \u003cli\u003eDig deeper into textual and social media data using sentiment analysis\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 772\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.54 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 09, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44279144611942,"sku":"9781789955750","price":89.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/WlFUU1htY29ZWjJza09GdXVjUTRNZz09.webp?v=1766512226","url":"https:\/\/infinitylightwa.com\/products\/python-machine-learning-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2-paperback","provider":"Infinity Light","version":"1.0","type":"link"}