Price: $79.55
(as of Nov 24,2024 13:07:56 UTC – Details)

Publisher ‏ : ‎ The MIT Press; 2nd edition (October 20, 2020)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 856 pages
ISBN-10 ‏ : ‎ 0262044692
ISBN-13 ‏ : ‎ 978-0262044691
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 7.81 x 1.31 x 9.56 inches

In the world of data analytics, machine learning plays a crucial role in making sense of and extracting valuable insights from vast amounts of data. The second edition of “Fundamentals of Machine Learning for Predictive Data Analytics” is a comprehensive guide that delves into the algorithms, worked examples, and case studies that are essential for mastering this powerful tool.

This updated edition covers a wide range of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Readers will learn how to apply these algorithms to real-world data sets, allowing them to make predictions and uncover patterns that can drive business decisions and innovations.

The book also includes worked examples that walk readers through the process of building and deploying machine learning models, as well as case studies that showcase how these models have been successfully used in various industries, such as healthcare, finance, and marketing.

Whether you are a data scientist, analyst, or business professional looking to enhance your predictive analytics skills, “Fundamentals of Machine Learning for Predictive Data Analytics, second edition” is a must-have resource that will help you unlock the full potential of machine learning in your work.
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