Description
by Samuel Hack (Author)
Are you interested in learning about the amazing capabilities of machine learning, but you’re worried it will be just too complicated? Or are you a programmer looking for a solid introduction into this field? Then keep reading
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.
Here’s what you’ll discover inside: 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!