Description
Python Machine Learning is designed as a comprehensive resource for coders and IT professionals of all levels who are interested in mastering one of today’s most in-demand programming skills: machine learning. The authors begin by covering fundamental concepts such as an introduction to machine learning and data science, and introduce the reader to essential Python tools, including essential libraries such as NumPy for working with numerical arrays and Pandas for managing tabular data.
The middle and final sections focus on common machine learning algorithms. The reader is introduced to supervised learning algorithms such as regression (linear and logistic) and support vector machines (SVM), as well as unsupervised learning algorithms such as clustering. Throughout the book, real-life scenarios are used for each algorithm to clearly demonstrate how Python can be used to solve the problem at hand and ultimately deploy the built models.
Book Features
- Provide a detailed and structured introduction to the fundamental topics of machine learning and data science.
- Learn how to manipulate, analyze, and visualize data using key Python libraries such as NumPy, Pandas, and Matplotlib/Seaborn.
- Comprehensive review of supervised (such as regression and classification) and unsupervised (such as clustering) learning algorithms.
- Provide step-by-step guidance for important processes such as data cleansing and preparation.
- Explain how to deploy machine learning models built for use in various desktop and mobile applications.
- Adopting a balanced approach between theoretical understanding of AI concepts and their practical implementation with practical examples.
Book specifications
- Publisher: Wiley
- Instructor: Wei-Meng Lee
- Number of pages: 323
- Number of chapters: 12
- Format: PDF
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Download link
Download Wiley – Python Machine Learning 2019
File(s) password: www.downloadly.ir
File size
19 MB
