Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

Document Outline

• Introduction
• The Purpose Of This Book
• What Is Artificial Intelligence?
• How Is Machine Learning Used?
• Recent Advancements In Data Analysis
• Introduction To Statistics
• Choosing The Right Kind Of Model For Machine Learning
• Supervised Learning
• Classifications
• Unsupervised Learning
• Neural Networks
• Reinforcement Learning
• Ensemble Modeling
• Things You Must Know For Machine Learning
• Programming Tools
• Developing Models
• Afterword
• Introduction
• Chapter 1: Introduction to Machine Learning
• Chapter 2: Machine Learning Algorithms
• Chapter 3: Neural Network Learning Models
• Chapter 4: Learning Through Uniform Convergence
• Chapter 5: Data Science Lifecycle And Technologies
• Conclusion