English | 2021 | ISBN: B09F3JTRC1 | 58 pages | PDF,EPUB,AZW3 | 2.23 MB
MACHINE LEARNING FOR BEGINNERS

Learn How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples and further knowledge in statistics and programming

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. Concerning 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