Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms

by Jennifer Grange

Do you understand the difference between supervised and unsupervised learning algorithms? Would you like to be able to learn about this quickly, in a simple and concise way? Some of the world’s biggest companies use machine learning techniques to manage their functions in an effective and professional way that is beneficial to their business. Now you can understand more about them with Machine Learning for Absolute Beginners, a book which provides you with in-depth knowledge of the Supervised and Unsupervised Learning Algorithms which play such a big part and Supervised learning Semi-supervised learning Learning to learn Transduction Learning that reinforces Written in a clear and easy-to-follow style, this book takes what might seem to be a complex subject and simplifies it in basic layman’s terms, so that it becomes an easy read, even if you are a complete novice. Get yourself a copy of Machine Learning for Absolute Beginners today. It will enhance your understanding and provide you with everything you’ll need to expand your knowledge of this fascinating subject!

76 pages, Paperback

Published November 25, 2017

Reviews

[Marcus Österberg · Rating 1 out of 5]

Actually not for absolute beginners. Offers no intro to terms such as "XOR" and "exclusive OR". Also need some editing, for instance there are no page numbers in the printed edition...