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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models - Softcover
Synopsis
Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success
Key Features
- Learn how to improve performance of your models and eliminate model biases
- Strategically design your machine learning systems to minimize chances of failure in production
- Discover advanced techniques to solve real-world challenges
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Debugging Machine Learning Models with Python is a comprehensive guide...
About the Author
Ali Madani worked as the director of machine learning at Cyclica Inc leading AI technology development front of Cyclica for drug discovery before acquisition of Cyclica by Recursion Pharmaceuticals. Ali completed his PhD at University of Toronto focusing on machine learning modeling in cancer setting and attained a Master of Mathematics from the University of Waterloo. As a believer in industry-oriented education and pro-democratization of knowledge, Ali...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2023
- ISBN 10 1800208588
- ISBN 13 9781800208582
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages344
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Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
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