Book description
This book shows you how to run experiments on your website using A/B testing—and then takes you a huge step further by introducing you to bandit algorithms for website optimization. Author John Myles White shows you how this family of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.
Table of contents
- Bandit Algorithms for Website Optimization
- Preface
- 1. Two Characters: Exploration and Exploitation
- 2. Why Use Multiarmed Bandit Algorithms?
- 3. The epsilon-Greedy Algorithm
- 4. Debugging Bandit Algorithms
- 5. The Softmax Algorithm
- 6. UCB – The Upper Confidence Bound Algorithm
-
7. Bandits in the Real World: Complexity and Complications
- A/A Testing
- Running Concurrent Experiments
- Continuous Experimentation vs. Periodic Testing
- Bad Metrics of Success
- Scaling Problems with Good Metrics of Success
- Intelligent Initialization of Values
- Running Better Simulations
- Moving Worlds
- Correlated Bandits
- Contextual Bandits
- Implementing Bandit Algorithms at Scale
- 8. Conclusion
- Colophon
- Copyright
Product information
- Title: Bandit Algorithms for Website Optimization
- Author(s):
- Release date: December 2012
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449341336
You might also like
book
Robust Python
Does it seem like your Python projects are getting bigger and bigger? Are you feeling the …
book
Strategic Writing for UX
When you depend on users to perform specific actions—like buying tickets, playing a game, or riding …
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Practical Time Series Analysis
Time series data analysis is increasingly important due to the massive production of such data through …