Machine Learning with Python for Everyone (1 ed)

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python

Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.

• Understand machine learning algorithms, models, and core machine learning concepts
• Classify examples with classifiers, and quantify examples with regressors
• Realistically assess the performance of machine learning systems
• Use feature engineering to smooth rough data into useful forms
• Chain multiple components into one system and tune its performance
• Apply machine learning techniques to images and text
• Connect the core concepts to neural networks and graphical models
• Leverage the Python scikit-learn library and other powerful tools