Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications (Paperback) (ISBN-13: 9798645061821)

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.

• What is Artificial Intelligence Really, and Why is it So Powerful?

• Choosing the Right Kind of Machine Learning Model for You

• An Introduction to Statistics

• Reinforcement Learning and Ensemble Modeling

• "Random Forests" and Decision Trees

• Learn the Fundamental Concepts of Machine Learning Algorithms

• Understand The Four Fundamental Types of Machine Learning Algorithm
  

• Master the Concept of "Statistical Learning
  

• Learn Everything You Need to Know about Neural Networks and Data Pipelines
  

• Master the Concept of "General Setting of Learning"
  

• And Much More!
  

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 bundle is a must-read for anyone interested in the world of machine learning.