Machine learning for decision makers: cognitive computing fundamentals for better decision making

Chapter 1: Lets Integrate with Machine Learning

Chapter 2: The Practical Concepts of Machine Learning

Chapter 3: Machine Learning Algorithms and Their Relationship with Modern Technologies

Chapter 4: Technology Stack for Machine Learning and Associated Technologies

Chapter 5: Industrial Applications of Machine Learning

Chapter 6: I Am the Future: Machine Learning in Action

Chapter 7: Innovation, KPIs, Best Practices, and More for Machine Learning

Chapter 8: Do Not Forget Me: The Human Side of Machine Learning

Chapter 9: Quantum Computers and Machine Learning

Chapter 10: Lets Wrap Up: The Final Destination.

Chapter 1: Introduction

Chapter 2: Fundamentals of Machine Learning and its technical ecosystem

Chapter 3: Methods and techniques of Machine Learning

Chapter 4: Machine Learning and its relationship with cloud, IOT, big data and cognitive computing in business perspective

Chapter 5: Business challenges and applications of Machine Learning big data, IOT, cloud and cognitive computing in different fields and domains

Chapter 6: Technology offered by different vendors for Machine Learning

Chapter 7: Security and Machine Learning

Visual and text summery of the chapter

Chapter 8: Matrices, KPI's and more. For Machine Learning ecosystem

Chapter 9: Best practices and pattern for Machine Learning

Chapter 10: Recent advancement and future directions of Machine Learning

Chapter 11: Conclusion.