Experimentation for Engineers (Manning)
Friday, 17 March 2023

With the subtitle "From A/B testing to Bayesian optimization", this book consists of a toolbox of techniques for evaluating new features and fine-tuning parameters. David Sweet starts with a deep dive into methods like A/B testing, and then graduates to advanced techniques used to measure performance in industries such as finance and social media. He shows how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics.

<ASIN:‎1617298158>

 

Author: David Sweet
Publisher: Manning
Date: March 2023
Pages: 248
ISBN: 978-1617298158
Print: 1617298158
Kindle: B0BSVHBFK2
Audience: General
Level: Intermediate
Category: Theory & Techniques 

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Topics include:

 

  • Design, run, and analyze an A/B test
  • Break the "feedback loops" caused by periodic retraining of ML models
  • Increase experimentation rate with multi-armed bandits
  • Tune multiple parameters experimentally with Bayesian optimization
  • Clearly define business metrics used for decision-making
  • Identify and avoid the common pitfalls of experimentation

 

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Embedded Vision: An Introduction (Mercury Learning)

Author: S. R. Vijayalakshmi and S. Muruganand
Publisher: Mercury Learning
Date: October 2019
Pages: 580
ISBN: 978-1683924579
Print: 1683924576
Kindle: B07YN6JC19
Audience: Developers interested in vision-enabled devices
Rating: 3
Reviewer: Harry Fairhead
The power of small machines is now well able to ta [ ... ]



Reliable Source: Lessons from a Life in Software Engineering

Author: James Bonang
Date: January 2022
Pages: 608
Kindle: B09QCBVJ9V
Audience: General interest
Rating: 5
Reviewer: Kay Ewbank

This book combines a fun read with interesting insights into how to write reliable programs.


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