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Machine Theory
R 2,494
Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python
R 2,590
Effective Machine Learning Teams: Best Practices for ML Practitioners
R 2,986
Detecting Regime Change in Computational Finance
R 1,532
Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples
R 678
Trust.: Responsible AI, Innovation, Privacy and Data Leadership
R 3,021
Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
R 1,252
Introducing MLOps: How to Scale Machine Learning in the Enterprise
R 3,695
Shapes and Diffeomorphisms (Applied Mathematical Sciences, 171)
R 607
Deep Learning with R
R 3,595
Formal Models and Semantics (Handbook of Theoretical Computer Science, Vol. B)
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