Adaptive Kernel Density Python Mapping

An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data
Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of classification and regression, this book focuses on the procedures for estimating a multivariate distribution via smoothing.

Learn the fundamentals to better develop or acquire such Machine Learning Methods

Online learning from a signal processing perspective. There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces.

by José E. Chacón (Author), Tarn Duong (Author)

Learn all the advanced skills you need to perform various real-world machine learning tasks in different environments.

Practical Statistics with Python for Data Science & Machine Learning Modeling Using Sci-kit Learn and Scipy