Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining

by Samuel Hack

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. Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this book is a must-read for anyone interested in the world of machine learning.

Genres: Mathematics

Kindle Edition

Published October 13, 2019

Reviews

[Jennifer Mielke · Rating 4 out of 5]

A look into the future?

The future looks like it will be even more tech based than it is now with machines being almost indistinguishable from humans. If you hope to be at the forefront of this revolution, then the author believes you will have to have a strong knowledge of machine learning mathematics. If you are in software development the author also believes knowing machine learning mathematics will give you that competitive edge you will need to develop some innovative technology like Alexa or Siri were in their era. I found this is be an interesting read full of great info.

[Toni · Rating 4 out of 5]

Machine learning

This book takes thru the types of machine learning to the concepts and then to the logarithm that can assist you. It then tells about the neutral and how to put It all together for AI. I recommend this book to anyone wanting to learn more or perfect their techniques.

[Tanya Malaszuk · Rating 5 out of 5]

So interesting

I thought this book was interesting. It really explained how machines and gathering data assist with learning. I loved,the section on TDAP, it was really clarifying. A good read for those wanting to use technology.

[Catie LeMar · Rating 4 out of 5]

Detailed

Lots of detail in machine learning. The writing is a little technical with lots of terminology, so it may be difficult for some people to make sense of. Thorough.