{"product_id":"applied-machine-learning-for-data-science-practitioners","title":"Applied Machine Learning for Data Science Practitioners","description":"\u003cp\u003e\u003cb\u003eA single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eApplied Machine Learning for Data Science Practitioners\u003c\/i\u003e offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case.\u003c\/p\u003e \u003cp\u003eUnlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results.\u003c\/p\u003e \u003cp\u003eThis book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed.\u003c\/p\u003e \u003cp\u003eWritten by a recognized data science expert, \u003ci\u003eApplied Machine Learning for Data Science Practitioners\u003c\/i\u003e covers essential topics, including:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eData Science Fundamentals\u003c\/b\u003e that provide you with an overview of core concepts, laying the foundation for understanding ML.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Preparation\u003c\/b\u003e covers the process of framing ML problems and preparing data and features for modeling.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eML Problem Solving\u003c\/b\u003e introduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel Optimization\u003c\/b\u003e explores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eML Ethics\u003c\/b\u003e addresses ethical considerations, including fairness, accountability, transparency, and ethics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel Deployment and Monitoring\u003c\/b\u003e focuses on production deployment, performance monitoring, and adapting to model drift.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54249272836440,"sku":"9781394155378","price":69.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394155378_4d7400aa-e7d5-4aef-99e6-062fd8e20792.jpg?v=1778638556","url":"https:\/\/agendabookshop.com\/products\/applied-machine-learning-for-data-science-practitioners","provider":"Agenda Bookshop","version":"1.0","type":"link"}