{"product_id":"python-machine-learning-book-by-sebastian-raschka-and-vahid-mirjalili","title":"Python Machine Learning\nBook by Sebastian Raschka and Vahid Mirjalili","description":"\u003cdiv data-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\"\u003e\n\u003cdiv id=\"drengr_MobileTabbedDescriptionOverviewContent_feature_div\" class=\"celwidget\" data-feature-name=\"drengr_MobileTabbedDescriptionOverviewContent\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"drengr_MobileTabbedDescriptionOverviewContent\" data-csa-c-slot-id=\"drengr_MobileTabbedDescriptionOverviewContent_feature_div\" data-csa-c-asin=\"\" data-csa-c-is-in-initial-active-row=\"false\" data-cel-widget=\"drengr_MobileTabbedDescriptionOverviewContent_feature_div\" data-csa-c-id=\"bpm1k7-30avlz-ve74eb-9940tq\"\u003e\n\u003cp\u003e\u003cspan class=\"a-text-bold\"\u003eApplied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eThird edition of the bestselling, widely acclaimed Python machine learning book\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eClear and intuitive explanations take you deep into the theory and practice of Python machine learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eFully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eBook Description\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\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.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePacked 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.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUpdated 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.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis 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\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eWhat you will learn\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eMaster the frameworks, models, and techniques that enable machines to 'learn' from data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse scikit-learn for machine learning and TensorFlow for deep learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply machine learning to image classification, sentiment analysis, intelligent web applications, and more\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuild and train neural networks, GANs, and other models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDiscover best practices for evaluating and tuning models\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePredict continuous target outcomes using regression analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eDig deeper into textual and social media data using sentiment analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cspan\u003eWho This Book Is For\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\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\/span\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan\u003eTable of Contents\u003c\/span\u003e\u003c\/h4\u003e\n\u003col class=\"a-ordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGiving Computers the Ability to Learn from Data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTraining Simple ML Algorithms for Classification\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eML Classifiers Using scikit-learn\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBuilding Good Training Datasets - Data Preprocessing\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCompressing Data via Dimensionality Reduction\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eBest Practices for Model Evaluation and Hyperparameter Tuning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCombining Different Models for Ensemble Learning\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApplying ML to Sentiment Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eEmbedding a ML Model into a Web Application\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003ePredicting Continuous Target Variables with Regression Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWorking with Unlabeled Data - Clustering Analysis\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eImplementing Multilayer Artificial Neural Networks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eParallelizing Neural Network Training with TensorFlow\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eTensorFlow Mechanics\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eClassifying Images with Deep Convolutional Neural Networks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eModeling Sequential Data Using Recurrent Neural Networks\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGANs for Synthesizing New Data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eRL for Decision Making in Complex Environments\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ca:text textemphasis=\"true\"\u003e\u003c\/a:text\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"productInfoTabExpanderHeader0\" class=\"a-expander-header a-expander-partial-collapse-header\"\u003e\u003ca role=\"button\" data-action=\"a-expander-toggle\" class=\"a-declarative\" data-a-expander-toggle='{\"allowLinkDefault\":true, \"expand_prompt\":\"Leer más\", \"collapse_prompt\":\"Leer menos\"}'\u003e\u003ci class=\"a-icon a-icon-extender-collapse\"\u003e\u003c\/i\u003e\u003cspan class=\"a-expander-prompt\"\u003eLeer\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e","brand":"Book Lovers BD","offers":[{"title":"Paperback","offer_id":55466767745315,"sku":null,"price":730.0,"currency_code":"BDT","in_stock":true},{"title":"Hardcover","offer_id":55466767778083,"sku":null,"price":900.0,"currency_code":"BDT","in_stock":true},{"title":"eBook","offer_id":55466767810851,"sku":null,"price":150.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0954\/5872\/2083\/files\/rn-image_picker_lib_temp_2ee0946e-221f-43ca-9792-22f9f8ea76a3.jpg?v=1786618881","url":"https:\/\/www.bookloversbd.shop\/products\/python-machine-learning-book-by-sebastian-raschka-and-vahid-mirjalili","provider":"Book Lovers BD","version":"1.0","type":"link"}