Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
Statistics for Machine Learning presents techniques for examining supervised, unsupervised, and reinforcement learning models. With examples and practical work involving Python and R, Pratap Dangeti’s book offers a broad, statistics-focused introduction to exploring machine learning methods and their applications.
About This Book
Statistics for Machine Learning introduces statistical techniques for exploring modern machine learning models.
The book covers supervised, unsupervised, and reinforcement learning, providing a broad view of these major learning approaches.
Python and R are included as practical tools for working with statistical and machine learning concepts.
Written by Pratap Dangeti, this resource is suited to readers seeking a statistics-focused perspective on machine learning.
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