{"product_id":"9781484228661","title":"Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python","description":"\u003cp\u003eMaster machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. \u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. \u003ci\u003eMastering Machine Learning with Python in Six Steps\u003c\/i\u003e presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. \u003c\/p\u003e\u003cp\u003eYou’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining\/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you’ll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation. \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eAll the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.\u003c\/p\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eExamine the fundamentals of Python programming language\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eReview machine Learning history and evolution\u003c\/li\u003e\n\u003cli\u003eUnderstand machine learning system development frameworks\u003c\/li\u003e\n\u003cli\u003eImplement supervised\/unsupervised\/reinforcement learning techniques with examples\u003c\/li\u003e\n\u003cli\u003eExplore fundamental to advanced text mining      techniques\u003c\/li\u003e\n\u003cli\u003eImplement various deep learning frameworks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003ePython developers or data engineers looking to expand their knowledge or career into machine learning area.\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eNon-Python (R, SAS, SPSS, Matlab or any other language) machine learning practitioners looking to expand their implementation skills in Python.\u003c\/p\u003e  \u003cp\u003eNovice machine learning practitioners looking to learn advanced topics, such as hyperparameter tuning, various ensemble techniques, natural language processing (NLP), deep learning, and basics of reinforcement learning.\u003c\/p\u003e\u003cbr\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":46502486049009,"sku":"9781484228661","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781484228661_p0.jpg?v=1765489980","url":"https:\/\/shop.barnesandnoble.com\/products\/9781484228661","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}