Machine learning is an incredible technology which we're only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it's not too late to start

This guide breaks down the fundamentals of machine learning in a way that anyone can understand. With reference to the different kinds of machine learning models, neural networks, and the way these models learn data, you'll find everything you need to know to get started with machine learning in a concise, easy-to-understand way.

• 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

• Supervised and Unsupervised Learning

• The Power of Neural Networks

• Reinforcement Learning and Ensemble Modeling

• "Random Forests" and Decision Trees

• Must-Have Programming Tools

• And Much More

Whether you're already a programmer or if you're a complete beginner, now you can break into machine learning in no time Covering all the basics from simple decision trees to the complex decision-making processes which mirror our own brains, Machine Learning for Beginners is your comprehensive introduction to this amazing field