Experimentation for Engineers: From A/B Testing to Bayesian Optimization
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Experimentation for Engineers delivers a toolbox of processes for optimizing software systems.
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What Stands Out
產品詳情
| Publisher | Manning Publications |
| Publication date | 7 Mar. 2023 |
| Edition | 1st |
| Language | English |
| Print length | 248 pages |
| ISBN-10 | 1617298158 |
| ISBN-13 | 978-1617298158 |
| Dimensions | 18.73 x 0.76 x 23.5 cm |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to enhance their skills in experimental design and optimization techniques.
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Software Engineers
Software engineers can gain insights into A/B testing methodologies to improve product features and user experiences.
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Business Analysts
Business analysts will benefit from understanding how to use experimentation for data-driven decision-making and strategy.
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Beginners In Statistics
Individuals with no statistical background may find the concepts and methodologies challenging without prior knowledge.
產品敘述
Experimentation for Engineers: From A/B Testing to Bayesian Optimization
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English edition David Sweet Format: Paperback Editorial Review
Experimentation For Engineers: From A/B Testing To Bayesian Optimization is an insightful resource published by Manning Publications on March 7, 2023. This 1st edition book spans 248 pages and provides a thorough exploration of experimentation techniques in engineering, making it a valuable addition to any engineer's library. Readers have praised its clarity and practical approaches, which are crucial for implementing effective A/B testing and optimization strategies. The dimensions of the book are 18.73 x 0.76 x 23.5 cm, making it easy to handle and read, perfect for both novice and experienced engineers looking to enhance their skills in this field.
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優點
- Clear and practical approaches to experimentation
- Valuable insights for engineers and data scientists
- Suitable for both novice and experienced readers
- Published by a reputable publisher
- Well-structured content
缺點
- Some readers may find it a bit technical
Product Price History
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特色和優勢
- Master A/B testing and advanced experimentation strategies.
- Break feedback loops from periodic retraining of ML models.
- Increase experimentation rates using multi-armed bandits.
- Tune parameters with Bayesian optimization for best results.
- Avoid common pitfalls in experimentation to protect business metrics.
- Includes purchase of a print book plus free eBook in multiple formats.
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