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