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SKU/Artículo: AMZ-B0DJSWJGY1
Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.34 kg
1.34 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Written by Peng Shao, former Twitter Staff ML Engineer and founding member of Amazon Alexa, this 562-page guide is your companion through the entire ML workflow from data to models. What's inside: The 15 timeless principles of machine learning, demonstrated through real-world examples across industries and problem domains.Data collection strategies for assembling high-quality datasets that set a strong foundation for ML systems.The art and science of feature engineering, showing how to creatively brainstorm, engineer, and select features that improve model performance.A step-by-step guide to rapid model development, using frameworks and techniques to quickly assemble, prototype, and iterate on models.Best practices for model troubleshooting and tuning, with technical details and code samples. About Peng Shao: Peng Shao has over a decade of ML leadership experience. He is a former Staff ML Engineer at Twitter. He was a founding team member of Amazon Alexa, where he oversaw the speech recognition services behind the Echo and Fire TV. He also spearheaded the ML and NLP development for FactSet Fundamentals, a leading fintech product, and co-founded Roxy, a venture-backed AI startup that was acquired in 2019. He is also the author of Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them.
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