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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.Key FeaturesThird edition of the bestselling, widely acclaimed Python machine learning bookClear and intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practicesBook DescriptionPython 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.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.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.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.What you will learnMaster the frameworks, models, and techniques that enable machines to 'learn' from dataUse scikit-learn for machine learning and TensorFlow for deep learningApply machine learning to image classification, sentiment analysis, intelligent web applications, and moreBuild and train neural networks, GANs, and other modelsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho This Book Is ForIf 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.Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple ML Algorithms for ClassificationML Classifiers Using scikit-learnBuilding Good Training Datasets - Data PreprocessingCompressing Data via Dimensionality ReductionBest Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying ML to Sentiment AnalysisEmbedding a ML Model into a Web ApplicationPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data - Clustering AnalysisImplementing Multilayer Artificial Neural NetworksParallelizing Neural Network Training with TensorFlowTensorFlow MechanicsClassifying Images with Deep Convolutional Neural NetworksModeling Sequential Data Using Recurrent Neural NetworksGANs for Synthesizing New DataRL for Decision Making in Complex Environments
Sebastian Raschka (born in Cedar Rapids, Iowa, United States.[citation needed]) is an American author. Under the pen name "Fanny Merkin," he authored the Fifty Shades of Grey parody Fifty Shames of Earl Grey. His other books include Great Philosophers Who Failed at Love, and Literary Rogues: A Scandalous History of Wayward Python Machine Learning Scarica libri epub online gratuitamente Authors. He is the founder and creative director of Order of St. Nick, a greeting card company. He resides in Louisville, Kentucky with his wife, novelist Tiffany Reisz.[1]


Shaffer attended the Iowa Writers' Workshop for a summer semester and studied comedy writing at Chicago's The Second City. He reviews books Python Machine Learning Scarica libri epub online gratuitamente for RT Book Reviews, a magazine devoted largely to romance and erotic literature. He is also a columnist for the Huffington Post where he covers news within the publishing industry and reviews new book releases.[2]


Order of St. Nick is a greeting card company whose irreverent cards have been featured Python Machine Learning Scarica libri epub online gratuitamente on The Colbert Report, NPR, and Fox News. Shaffer started
the company after a fruitless quest to find seasonal cards that expressed secular beliefs to send to atheists during the holidays. It was featured on the Colbert Report as 'Un-American.' And CBS's The Early Show featured Order of St. Nick's Python Machine Learning Scarica libri epub online gratuitamente Depressing Times cards as one of the most prominent examples of the 'Great Depression chic' trend in 2009.


Shaffer wrote Fifty Shames of Earl Grey under the pen name "Fanny Merkin." Fifty Shames of Earl Grey is a parody of E. L. James' popular trilogy, Fifty Shades of Grey. Publishers Python Machine Learning Scarica libri epub online gratuitamente Weekly suggested "The parody brings to life all of the arguments for and against 50 Shades, including the feminist concerns, portrayal of BDSM, roots in Twilight fan-fiction, and EL James's writing style."[3] Fifty Shames of Earl Grey was a Goodreads choice 2012 semi-finalist.[4]


In 2015, Shaffer's tie-in book to the Python Machine Learning Scarica libri epub online gratuitamente Syfy channel's Sharknado series of films debuted on the New York Times Bestseller List. [5]


Released on June 28, 2016,
this Ghosts from Our Past is a tie-in book to Ghostbusters (2016). [6] Shaffer is listed as a co-author even though the other two authors, Erin Gilbert and Abby L. Python Machine Learning Scarica libri epub online gratuitamente Yates, are the fictional characters in the Ghostbusters film.


Python Machine Learning Scarica libri epub online gratuitamente



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