Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python
By 作者: Rudolph Russell
ISBN-10 书号: 1719528403
ISBN-13 书号: 9781719528405
Release Finelybook 出版日期: 2018-05-22
Pages 页数: 106
This book is for anyone who would like to learn how to develop machine-learning systems. We will cover the most important concepts about machine learning algorithms, in both a theoretical and a practical way, and we’ll implement many machine-learning algorithms using the Scikit-learn library in the Python programming language. In the first chapter, you’ll learn the most important concepts of machine learning, and, in the next chapter, you’ll work mainly with the classification. In the last chapter you’ll learn how to train your model. I assume that you’ve knowledge of the basics of programming
This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning.
Benefits of reading this book that you’re not going to find anywhere else:
Introduction to Machine Learning
How to train a Model
Different Models Combinations
INTRODUCTION TO MACHINE LEARNING
What is machine learning?
Why machine learning?
When should you use machine learning?
Types of Systems of Machine Learning
Supervised and unsupervised learning
Instance based learning
Bad and Insufficient Quantity of Training Data
Overfitting the Data
Underfitting the Data
Measures of Performance
Training a Random Forest Classifier
HOW TO TRAIN A MODEL
Batch Gradient Descent
Stochastic Gradient Descent
Mini-Batch Gradient Descent
Regularized Linear Models
Different models combinations
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