Machine Learning 2 Books in 1

Machine Learning 2 Books in 1

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

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