{"product_id":"python-machine-learning-by-example-second-edition-implement-machine-learning-algorithms-and-techniques-to-build-intelligent-systems-2nd-edition-paperback","title":"Python Machine Learning By Example - Second Edition: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition - Paperback","description":"\u003cp\u003eby \u003cb\u003eYuxi (Hayden) Liu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGrasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eExploit the power of Python to explore the world of data mining and data analytics\u003c\/li\u003e \u003cli\u003eDiscover machine learning algorithms to solve complex challenges faced by data scientists today\u003c\/li\u003e \u003cli\u003eUse Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you're interested in ML, this book will serve as your entry point to ML.\u003c\/p\u003e \u003cp\u003ePython Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You'll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way.\u003c\/p\u003e \u003cp\u003eWith the help of this extended and updated edition, you'll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more.\u003c\/p\u003e \u003cp\u003eBy the end of the book, you'll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eUnderstand the important concepts in machine learning and data science\u003c\/li\u003e \u003cli\u003eUse Python to explore the world of data mining and analytics\u003c\/li\u003e \u003cli\u003eScale up model training using varied data complexities with Apache Spark\u003c\/li\u003e \u003cli\u003eDelve deep into text and NLP using Python libraries such NLTK and gensim\u003c\/li\u003e \u003cli\u003eSelect and build an ML model and evaluate and optimize its performance\u003c\/li\u003e \u003cli\u003eImplement ML algorithms from scratch in Python, TensorFlow, and scikit-learn\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIf you're a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 382\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.79 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 28, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42108283814023,"sku":"9781789616729","price":59.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/14caf787de5f12f5e7410cb6b6c9ebd2.webp?v=1732464367","url":"https:\/\/booksby.splitshops.com\/products\/python-machine-learning-by-example-second-edition-implement-machine-learning-algorithms-and-techniques-to-build-intelligent-systems-2nd-edition-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}