Machine Learning 2 Books in 1 An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications by Samuel Hack
Contents of Machine Learning PDF
- TABLE OF CONTENTS
- YOUR FREE GIFT
- MACHINE LEARNING FOR BEGINNERS
- 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
- MACHINE LEARNING MATHEMATICS
- 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
