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Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications

✍ Scribed by Hack, Samuel


Year
2020
Tongue
English
Leaves
168
Category
Library

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✦ Table of Contents


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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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