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1
Understanding Machine Learning: From Theory to Algorithms
Shalev-Shalev's book bridges the gap between theoretical understanding and practical implementation of machine learning algorithms. It covers a wide range of topics, from supervised learning to reinfo...
2
Deep Work Field Guide
A companion to 'Deep Work', this field guide provides practical exercises and strategies for implementing the deep work philosophy. It offers specific routines, rituals, and techniques for creating an...
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