Machine Learning Algorithms: How To Choose The Right Kind Of Machine Learning Model

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
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.
In book one, you'll learn:
-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
In book two, you'll learn:
-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”
-A Free Bonus
-And Much More!