Pulipaka G. A Greater Foundation for Machine Learning...2021 torrent

Textbook in PDF format

This research scholarly illustrated book has more than 250 illustrations. The simple models of supervised Machine Learning with Gaussian Naïve Bayes, Naïve Bayes, decision trees, classification rule learners, linear regression, logistic regression, local polynomial regression, regression trees, model trees, K-nearest neighbors, and support vector machines lay a more excellent foundation for statistics. The author of the book Dr. Ganapathi Pulipaka, a top influencer of Machine Learning in the US, has created this as a reference book for universities. This book contains an incredible foundation for Machine Learning and engineering beyond a compact manual. The author goes to extraordinary lengths to make academic Machine Learning and Deep Learning literature comprehensible to create a new body of knowledge. The book aims at readership from university students, enterprises, data science beginners, machine learning and deep learning engineers at scale for high-performance computing environments