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Algorithms
R 3,270
Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)
R 5,496
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
R 4,677
Understanding Deep Learning
R 2,597
Hacker's Delight
R 4,072
Concrete Mathematics: A Foundation for Computer Science (2nd Edition)
R 2,231
50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
R 2,453
Windows Internals: System architecture, processes, threads, memory management, and more, Part 1 (Developer Reference)
R 1,904
On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence
R 857
The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution SHORTLISTED FOR THE FT & MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019
R 2,400
Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python
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