Fundamentals of Machine Learning using Python

Euan Russano, Elaine Ferreira Avelino

• Publisher: Arcler Press
• Year: 2019
• eBook ISBN: 9781774074275
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Fundamentals of Machine Learning discusses the basics of python, use of python in computing and provides a general outlook on machine learning. This book provides an insight into concepts such as linear regression with one variable, linear algebra, and linear regression with multiple inputs. The classification with logistics regression model, regularization, neural networks, decision trees are explained in this book. The introduction to several concepts of machine learning such as component analysis, classification using k-Nearest Algorithm, k Means Clustering, computing with Tensor flow and natural language processing have been explained. This book explains the fundamental concepts of machine learning.

Table of contents

• Cover
• Title Page
• Copyright
• ABOUT THE AUTHORS
• TABLE OF CONTENTS
• List of Figures
• List of Tables
• List of Abbreviations
• Preface
• Chapter 1 Introduction to Python
• Chapter 2 Computing Things With Python
• Chapter 3 A General Outlook on Machine Learning
• Chapter 4 Elements of Machine Learning
• Chapter 5 Linear Regression With One Variable
• Chapter 6 A General Review On Linear Algebra
• Chapter 7 Linear Regression With Multiple Inputs/Features
• Chapter 8 Classification Using Logistic Regression Model
• Chapter 9 Regularization
• Chapter 10 Introduction To Neural Networks
• Chapter 11 Introduction To Decision Trees and Random Forest
• Chapter 12 Principal Component Analysis
• Chapter 13 Classification Using K-Nearest Neighbor Algorithm
• Chapter 14 Introduction To Kmeans Clustering
• Chapter 15 Computing With Tensorflow: Introduction And Basics
• Chapter 16 Tensorflow: Activation Functions And Optimization
• Chapter 17 Introduction To Natural Language Processing
• Chapter 18 Project: Recognize Handwritten Digits Using Neural Networks
• Appendix A
• Bibliography
• Index
• Back Cover