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Tuning Up: keep your systems running smoothly

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Tuning Up: keep your systems running smoothly

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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

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

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Tuning Up: keep your systems running smoothly

  1. 1. Keep your systems in top condition with Tuning Up: From A/B testing to Bayesian optimization. Take 40% off by entering slsweet into the discount code box at checkout at manning.com.
  2. 2. Tuning an engineered system is best done by following established methods employed by high- performing teams like the ones led by author David Sweet. This book reveals tests, metrics, and practical tools that will ensure your projects are constantly improving, delivering revenue, and ensuring user satisfaction.
  3. 3. Tuning Up: From A/B testing to Bayesian optimization is a toolbox of experimental methods that will keep your software and systems working at peak performance. You’ll learn to implement tests and techniques that will boost the effectiveness of machine learning systems, trading strategies, infrastructure, and more. Each method in this practical guide is regularly utilized in highly competitive industries like finance and social media.
  4. 4. This book 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. By the time you’re done, you’ll be able to seamlessly run effective performance experiments while avoiding common mistakes and pitfalls.
  5. 5. What people are saying about the book: This book is the sure way ticket to help you learn in an interesting way using practical code, probability, and real world examples to design and test your experiments. -Satej Kumar Sahu This book is a good introduction to testing and optimizations for engineering systems and applications. -Anonymous reviewer
  6. 6. About the author: David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram, where he used experimental methods to tune trading systems and recommender systems. This book is an extension of his lectures on tuning quantitative trading systems given at NYU Stern over the past three years.
  7. 7. Take 40% off Tuning Up: From A/B testing to Bayesian optimization by entering slsweet into the discount code box at checkout at manning.com. If you want to learn more about the book, you can preview its contents on our browser-based liveBook reader here.

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