Python Machine Learning: Practical Guide for Beginners
Authors: Duval – Francois
ISBN-10: 1985670968
ISBN-13: 9781985670969
Publication Date 出版日期: 2017
Print Length 页数: 152 pages
Book Description
By finelybook
The overall aim of this book is to help you understand the application of machine learning techniques with python.
Machine learning is a field of Artificial Intelligence that uses algorithms to learn from data and make predictions. This means that we can feed data into an algorithm,and use it to make predictions about what might happen in the future.
This book is a practical guide through the basic principles of machine learning and how to get started with machine learning using Python based on libraries that make machine learning easy to get started with.
“Python has been an important part of Google since the beginning,and remains so as the system grows and evolves. Today dozens of Google engineers use Python,and we’re looking for more people with skills in this language.”
– Peter Norvig,director of search quality at Google,Inc.
PYTHON MACHINE LEARNING
How to contact us
Preface
In the same Series: Data Sciences
Author Biography
Contents
Introduction
Data
Labeled and unlabeled Data
Tasks
Algorithms
Models
Logical models
Geometric models
Probabilistic models
Essential Libraries and their Installation
Basic of Python Language in Machine Learning
Data and Inconsistencies in Machine Learning
A Roadmap for building Machine Learning Systems
Data Cleaning and Preparation
Application of Supervised Learning Techniques with Python
Linear Regression
Logistic Regression
Implementation of Linear Regression in scikit-learn
Applications of unsupervised learning Techniques with python
Applications of Neural Network
Implementation in Python
Training Machine Learning Algorithms
Combining Different Models for ensemble learning
Conclusion
Thank you!
