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Machine Theory
R 3,454
Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
R 3,556
Analysis of Boolean Functions
R 1,809
Statistical Learning with Sparsity (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
R 3,009
Artificial Intelligence Safety and Security (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
R 3,949
Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
R 1,606
Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
R 1,023
Deterministic Learning Theory for Identification, Recognition, and Control (Automation and Control Engineering)
R 1,718
Practical Machine Learning in R
R 1,884
Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps (Tech Today)
R 2,092
Deep Learning with R, Second Edition
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