Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorit - Samuel Hack

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Résumé :
Are you an aspiring entrepreneur? 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.
Inside, you will:Learn the Fundamental Concepts of Machine Learning Algorithms, and Their Impact in Resolving Modern Day Business Problems
Understand The Four Fundamental Types of Machine Learning Algorithm
Master the Concept of Statistical Learning, a Descriptive Statistics-Based Machine Learning Algorithm
Dive into the Development and Application of Six of the Most Popular Supervised and Unsupervised Machine Learning Algorithms, With Details on Linear Regression, Logistic Regression And More
Learn Everything You Need to Know about Neural Networks and Data Pipelines
Master the Concept of General Setting of Learning, a Fundamental of Machine Learning Development
Overview The Basics, Importance, and Applications of Data Science With Details on the Team Data Science Process Lifecycle
And a Free Bonus!



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.

Buy Now to Discover How You Can Master Machine Learning Today!

Biographie:
Samuel was born in Buffalo. He graduated in Computer Science and Engineering.

He has been writing programs since he was 16. After his studies started to work with a few informatics companies. With a master's degree from MIT, he has worked for some of the leading software companies in the United States and built up an extensive knowledge of software design and development.

Now he realized that his real vocation is teaching. Now Samuel is a teacher and a writer and his books are bestsellers all over the world.

Samuel enjoys sharing his programming knowledge through his book series, developing innovative software solutions for their clients, and watching classic sci-fi movies in his free time.