an Introduction to Statistical Learning

This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime that better fits the big data context.

Everything you need to know about AI Engineering - Hands-on from Algorithms, Programming to Real Projects

Unlock the world of data science and statistics with this beginner-friendly course

Apply your existing Python skills to the highly lucrative fields of machine learning and deep learning.

Machine Learning with Python and TensorFlow, BI techniques using Siebel and BIP, Gain hands-on in diverse projects