Machine Learning: Jump on the Way to the Future, Discover Artificial Intelligence and Data Science. Maximize your Business in the Modern World Mastering Deep Learning, Python and Algorithms

Introduction
Chapter 1: Introduction to Machine Learning (ML)
	1.1 Machine Learning (ML) Evolution
	1.2 Why Machine Learning (ML) have Become So Successful?
	1.3 Machine Learning (ML) Utilizations
	1.4 Artificial Intelligence and its Importance
	1.5 How Machine Learning (ML) is Related to Artificial Intelligence (AI)
	1.6 Working of Artificial Intelligence (AI)
	1.7 Applications of Machine Learning (ML)
Chapter 2: A Tour of Machine Learning (ML) Algorithms
	2.1 Machine Learning (ML) Algorithms Types
	2.2 Machine Learning (ML) Regression Techniques
	2.3 Reinforcement Learning Guide
	2.4 Ensemble Learning Guide
	2.5 Random Forest
	2.6 Decision Trees
	2.7 Random Forests vs Decision Trees
Chapter 3: Data Science Guide with Machine Learning
	3.1 Why Should We Use Data Science and How it can help in Business?
	3.2 Why Python and Data Science Mix Well?
	3.3 Data Science Statistical Learning
	3.4 Relation Between Big Data and Machine Learning (ML)
	3.5 What is Data Pipelines?
	3.6 What is Neural Networking?
	3.7 What is Artificial Neural Network?
	3.8 What is Data Mining?
	3.9 Machine Learning (ML) Algorithms for Data Science
	3.10 Machine Learning (ML) vs Artificial intelligence (AI) vs Deep Learning
	3.11 Python Libraries for Machine Learning (ML)
	3.12 How Machine Learning (ML) is Reshaping Marketing?
	3.13 Solutions for Small Businesses Using Big Data
Conclusion