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Machine Learning Pocket Reference
Book •
The Machine Learning Pocket Reference, authored by Matt Harrison, serves as a concise guide to essential machine learning concepts and techniques.
Designed for quick look-up and practical application, it covers key algorithms, evaluation metrics, and data preprocessing methods.
This reference is structured for accessibility, allowing data scientists and machine learning practitioners to find information rapidly.
It focuses on core concepts and provides examples to aid in understanding and implementation.
The book's portability and comprehensive coverage make it an indispensable tool for both beginners and experienced professionals in the field of machine learning.
Designed for quick look-up and practical application, it covers key algorithms, evaluation metrics, and data preprocessing methods.
This reference is structured for accessibility, allowing data scientists and machine learning practitioners to find information rapidly.
It focuses on core concepts and provides examples to aid in understanding and implementation.
The book's portability and comprehensive coverage make it an indispensable tool for both beginners and experienced professionals in the field of machine learning.
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Mentioned in 1 episodes
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Matt Harrison
S03E03 - Effective Python teaching - with Matt Harrison
