‘Mathematical Foundations of Machine Learning’ delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical principles behind algorithms and models. Whether you’re a data scientist, researcher, or enthusiast seeking a deeper understanding of the mathematical intricacies driving machine learning, this book equips you with the knowledge and insights necessary to navigate the complex landsca...
Cuprins
Mathematical Foundations of Machine Learning v
Introduction vi
Chapter 1: Introduction to Machine Learning 1
Types of Machine Learning 3
Unsupervised Machine Learn...
Despre autor
David Mackay is a renowned mathematician and computer scientist based in London. With a wealth of experience in both academia and industry, Mackay has been instrumental...