Did you know that Aoife and Brian, along with Dr John Kelleher, have quite literally written the book on Machine Learning?
First published in July 2015 by MIT Press, Fundamentals of Machine Learning for Predictive Data Analytics has since been translated into Chinese and Korean with Russian and Japanese versions coming soon and has received praise for its accessible approach to a complex subject.
Reviewers on Amazon have described it as “a must-read book”, “the best book I have read on predictive data analysis”, and our favourite “a future classic”.
We’re now pleased to share the publication of the second edition which covers recent developments in machine learning, particularly in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
The book can be used as a textbook for those starting out in Machine Learning and is recommended as a reference book for professionals. It offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is complimented by explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
As with the first edition, the book continues to be accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It provides students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Most importantly, both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context so aiding students with application of concepts learnt.
The new edition is available to purchase via MIT Press and Amazon, or you can ask your favourite independent book seller to order it in. It will also continue to be offered free of charge to all students who attend our Machine Learning courses.