Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

This comprehensive introduction to machine learning approaches used in predictive data analytics covers both theory and practice, providing a detailed and focused treatment of the most important models used in the field.

With recent developments in machine learning, including a new chapter on deep learning and two new chapters on unsupervised learning and reinforcement learning, this second edition is the perfect resource for anyone looking to gain a solid understanding of predictive data analytics.

Written by leading experts in the field, this book offers technical and mathematical material augmented with explanatory worked examples and case studies that illustrate the application of these models in the broader business context.

Don't miss out on this opportunity to gain a competitive edge in the industry - order your copy today!