Tuning Up: From A/B testing to Bayesian optimization teaches you proven methods for improving your production systems. Each method has been tested in industry and is fully explained using basic math and code written in Python and NumPy. The book is filled with real-world use cases for quantitative trading, recommender systems, and social media. You’ll learn how to evaluate changes to your system and explore ways to ensure that your testing is not undermining revenue and other business metrics. By the time you’re done, you’ll be able to seamlessly run effective performance experiments whilst avoiding common mistakes and pitfalls. Learn more about the book here: http://mng.bz/5jnD