{"product_id":"9781617293870","title":"Machine Learning with TensorFlow","description":"\u003cstrong\u003eMachine Learning with TensorFlow\u003c\/strong\u003e\u003cbr\u003e\u003cb\u003eAuthor(s): Nishant Shukla\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eMachine Learning with TensorFlow\u003c\/i\u003e gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. \u003cbr\u003e\u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Technology\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eTensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eMachine Learning with TensorFlow\u003c\/i\u003e gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money chapters: exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own. \u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eMatching your tasks to the right machine-learning and deep-learning approaches\u003c\/li\u003e\n\u003cli\u003eVisualizing algorithms with TensorBoard\u003c\/li\u003e\n\u003cli\u003eUnderstanding and using neural networks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eAbout the Reader\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eWritten for developers experienced with Python and algebraic concepts like vectors and matrices.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eAuthor \u003cb\u003eNishant Shukla\u003c\/b\u003e is a computer vision researcher focused on applying machine-learning techniques in robotics. \u003cbr\u003e\u003cbr\u003eSenior technical editor, \u003cb\u003eKenneth Fricklas\u003c\/b\u003e, is a seasoned developer, author, and machine-learning practitioner.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003col\u003e\n\u003ch4\u003ePART 1 - YOUR MACHINE-LEARNING RIG\u003c\/h4\u003e\n\u003cli\u003eA machine-learning odyssey\u003c\/li\u003e\n\u003cli\u003eTensorFlow essentials\u003c\/li\u003e\n\u003ch4\u003ePART 2 - CORE LEARNING ALGORITHMS\u003c\/h4\u003e\n\u003cli\u003eLinear regression and beyond\u003c\/li\u003e\n\u003cli\u003eA gentle introduction to classification\u003c\/li\u003e\n\u003cli\u003eAutomatically clustering data\u003c\/li\u003e\n\u003cli\u003eHidden Markov models \u003c\/li\u003e\n\u003ch4\u003ePART 3 - THE NEURAL NETWORK PARADIGM\u003c\/h4\u003e\n\u003cli\u003eA peek into autoencoders\u003c\/li\u003e\n\u003cli\u003eReinforcement learning\u003c\/li\u003e\n\u003cli\u003eConvolutional neural networks\u003c\/li\u003e\n\u003cli\u003eRecurrent neural networks\u003c\/li\u003e\n\u003cli\u003eSequence-to-sequence models for chatbots\u003c\/li\u003e\n\u003cli\u003eUtility landscape\u003c\/li\u003e\n\u003c\/ol\u003e\u003cbr\u003e\u003cbr\u003eReview(s):\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eISBN:  9781617293870\u003cbr\u003e\u003cbr\u003e ","brand":"Manning Publications","offers":[{"title":"Paperback \/ softback","offer_id":40589736673486,"sku":"9781617293870","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0600\/7029\/7806\/products\/O_8549149a-5328-4164-aec3-f16703910701.jpg?v=1637724478","url":"https:\/\/pickwickbookshop.com\/products\/9781617293870","provider":"Pickwick Bookshop","version":"1.0","type":"link"}