Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data MiningКНИГИ » ПРОГРАММИНГ
Название: Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining Автор: Samuel Hack Издательство: Amazon.com Services LLC Год: 2020 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Master the World of Machine Learning – Even if You’re a Complete Beginner. Are you an aspiring entrepreneur? Or are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you.
Machine learning is the way of the future – and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them.
With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology.
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Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining 
Название: Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining 
