Python Machine Learning
Authors: Wei-Meng Lee
ISBN-10: 1119545633
ISBN-13: 9781119545637
Edition 版本: 1
Released: 2019-04-30
Print Length 页数: 320 pages
Book Description
Python makes machine learning easy for beginners and experienced developers
With computing power increasing exponentially and costs decreasing at the same time,there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However,machine learning is not for the faint of heart—it requires a good foundation in statistics,as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today.
Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm,readers will use a real-life scenario to show how Python is used to solve the problem at hand.
Python data science—manipulating data and data visualization
Data cleansing
Understanding Machine learning algorithms
Supervised learning algorithms
Unsupervised learning algorithms
Deploying machine learning models
Python Machine Learning is essential reading for students,developers,or anyone with a keen interest in taking their coding skills to the next level.
Contents
Introduction
1Introduction to Machine Learning
2Extending Python Using NumPy
3Manipulating Tabular Data Using Pandas
4Data Visualization Using matplotlib
5 Getting Started with Scikit-learn for Machine Learning
6Supervised Learning-Linear Regression
7 Supervised Learning-Classification Using Logistic
Regression
8 Supervised Learning-Classification Using Support
Vector Machines
9 Supervised Learning-Classification Using K-Nearest
Neighbors(KNN)
10 Unsupervised Learning-Clustering Using K-Means
11 Using Azure Machine Learning Studio
12 Deploying Machine Learning Models
