Fundamentals of Machine Learning for Predictive Data Analytics
Fundamentals of Machine Learning for Predictive Data Analytics is an academic yet straightforward book. It provides the reader with a thorough introduction to some of the most often utilized methods in machine learning. These methods are used in predictive data analytics. This book gives the reader practical applications as well as theoretical topics. The practical examples provide the most value to the good description of analytics methodologies. The case studies use real-world scenarios to demonstrate how predictive analytics may be applied to tackle various problems. This textbook is designed in simple words, allowing the reader to get a basic grasp of machine learning.
Finally, the book discusses methodologies for assessing prediction models and provides two case studies that illustrate real data analytics initiatives from the formulation of the business challenge to the implementation of the analytics solution. The book is appropriate for students studying computer science, engineering, mathematics, or statistics, and is informed by the authors' many years of teaching machine learning and working on predictive data analytics projects.
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