Difficulty Level
Intermediate
Completion Time
6h20m
Language
English
About Book
Who Is This Book For?
This book is intended for data technologists (scientists, analysts, or developers) with previous machine learning experience who are also comfortable reading code in Python. This book is ideal for those looking for a way to deliver results quickly to enable rapid iteration and improvement.
Test-Driven Machine Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h20m total length
Introduction to Test Driving Machine Learning
Neurotically test a neural network
Exploring the unknown with multi-armed bandits
Predicting values with regression
Making decisions black and white with logistic regression
Naïvely labeling with Naïve Bayes Classification
Optimizing by choosing a new algorithm (Random Forest)
Exploring SciKit-Learn test first
Bringing it all together
Related Resources
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