Machine Learning With Boosting: A Beginner's Guide by Scott Hartshorn
English | 2017 | ISBN: N/A | ASIN: B074S14FPD | 127 pages | EPUB | 3.86 Mb
If you are looking for a book to help you understand how the machine learning algorithm "Gradient Boosted Trees", also known as "Boosting", works behind the scenes, then this is a good book for you. Boosting is a widely used algorithm in a variety of applications, including big data analysis for industry and data analysis competitions like you would find on Kaggle. Boosting has, in fact, become one of the dominant winning algorithms on Kaggle.
This book explains how Decision Trees work and how they can be used sequentially to reduce many of the common problems with decision trees, such as overfitting the training data. That method is known is Gradient Boosted Trees.
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