{"product_id":"learn-from-data-richard-boozman-9798180307477","title":"Learn from Data: Statistical Machine Learning with Python: Regression, Classification, and Neural Nets","description":"\u003cb\u003eRegression, classification, and neural networks for practical predictive systems\u003c\/b\u003e\u003cp\u003eMachine learning is not magic-it is applied mathematics, statistics, and engineering working together to extract patterns from data.\u003c\/p\u003e\u003cp\u003eBehind every recommendation engine, fraud detector, forecasting model, and intelligent application lies a foundation of statistical reasoning and predictive modeling.\u003c\/p\u003e\u003cp\u003e\"Learn from Data\" is a practical, engineering-focused guide to statistical machine learning using Python and modern data science workflows.\u003c\/p\u003e\u003cp\u003eThis book teaches developers and analysts how to build, evaluate, and improve machine learning systems through clear explanations, hands-on examples, and real-world problem solving.\u003c\/p\u003e\u003cbr\u003eWhy statistical machine learning matters\u003cp\u003eModern organizations rely on machine learning to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003epredict outcomes and trends\u003c\/li\u003e\n\u003cli\u003eclassify and segment information\u003c\/li\u003e\n\u003cli\u003eautomate decision making\u003c\/li\u003e\n\u003cli\u003edetect anomalies and fraud\u003c\/li\u003e\n\u003cli\u003epersonalize user experiences\u003c\/li\u003e\n\u003cli\u003euncover hidden patterns in data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eUnderstanding the statistical foundations behind these systems is essential for building models that are reliable, interpretable, and useful.\u003c\/p\u003e\u003cbr\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003efundamentals of statistical learning\u003c\/li\u003e\n\u003cli\u003edata preprocessing and feature engineering\u003c\/li\u003e\n\u003cli\u003eregression modeling techniques\u003c\/li\u003e\n\u003cli\u003ebinary and multiclass classification\u003c\/li\u003e\n\u003cli\u003emodel evaluation and validation\u003c\/li\u003e\n\u003cli\u003ebias, variance, and overfitting concepts\u003c\/li\u003e\n\u003cli\u003eprobability and statistical inference for ML\u003c\/li\u003e\n\u003cli\u003eneural network fundamentals\u003c\/li\u003e\n\u003cli\u003eoptimization and gradient-based learning\u003c\/li\u003e\n\u003cli\u003ebuilding machine learning pipelines with Python\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eFrom raw data to predictive systems\u003cp\u003eThroughout the book, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eclean and prepare datasets effectively\u003c\/li\u003e\n\u003cli\u003eselect appropriate models for different problems\u003c\/li\u003e\n\u003cli\u003etrain and evaluate predictive systems\u003c\/li\u003e\n\u003cli\u003einterpret model performance correctly\u003c\/li\u003e\n\u003cli\u003eimprove generalization and robustness\u003c\/li\u003e\n\u003cli\u003ebuild maintainable machine learning workflows\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEach chapter focuses on practical machine learning engineering principles rather than black-box shortcuts.\u003c\/p\u003e\u003cbr\u003ePractical applications\u003cul\u003e\n\u003cli\u003ebusiness forecasting systems\u003c\/li\u003e\n\u003cli\u003efraud and anomaly detection\u003c\/li\u003e\n\u003cli\u003erecommendation engines\u003c\/li\u003e\n\u003cli\u003ecustomer behavior analysis\u003c\/li\u003e\n\u003cli\u003epredictive analytics platforms\u003c\/li\u003e\n\u003cli\u003eintelligent automation systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThese examples reflect real-world machine learning engineering challenges.\u003c\/p\u003e\u003cbr\u003eWho this book is for\u003cul\u003e\n\u003cli\u003easpiring machine learning engineers\u003c\/li\u003e\n\u003cli\u003edata scientists\u003c\/li\u003e\n\u003cli\u003esoftware developers entering AI\u003c\/li\u003e\n\u003cli\u003eanalysts learning predictive modeling\u003c\/li\u003e\n\u003cli\u003estudents studying machine learning\u003c\/li\u003e\n\u003cli\u003eengineers building intelligent systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIf you want to understand how machine learning works mathematically and practically, this book provides the roadmap.\u003c\/p\u003e\u003cp\u003eModel carefully.\u003cbr\u003eLearn from data.\u003cbr\u003eBuild predictive systems with confidence.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Richard Boozman\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798180307477\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/11\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 250\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.68lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.62d","brand":"Richard Boozman","offers":[{"title":"Paperback","offer_id":49173548335359,"sku":"9798180307477","price":24.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_663ba72c-0d85-4ec0-83e0-c55df2995830.jpg?v=1788955177","url":"https:\/\/www.whiterainbookhouse.com\/products\/learn-from-data-richard-boozman-9798180307477","provider":"WR Book House","version":"1.0","type":"link"}