English | 2017 | ASIN: B072K2CGF3 | 35 pages | PDF | 0.6 Mb
With the rise of different technologies in the Hi-tech world, Machine learning is becoming a hot topic, which everyone wants to learn about.

Machine learning is a type of artificial intelligence program that you can use to give your computer the ability to learn without being completely programmed. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. Machine learning focuses deeply on developing computer programs that can change when exposed to new data. In addition to that, ML studies the construction of algorithms and how to make predictions on data.

The topics covered in this book are:

An introduction to Machine Learning
Understanding Machine Learning
How to use Machine Learning with you Data Analyzing needs
Machine Learning examples
Tips and tricks to teach your computer how to use Machine Learning
Artificial Intelligence
An overview of decision trees and random forests
Supervised and Unsupervised learning
Reinforcement Learning
How to work with Clustering Algorithms
Data Mining
Machine learning techniques
Data science
How to use decision tree with Machine Learning
And much, much more!