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EbookBell Team
5.0
68 reviewsEmphasizes numerical stability and performance of algorithms (computational complexity)
Focuses on explainable AI/interpretable machine learning, with heavy use of synthetic data and generative models, a new trend in the field
Includes new, easier construction of confidence regions, without statistics, a simple alternative to the powerful, well-known XGBoost technique
Covers automation of data cleaning, favoring easier solutions when possible
Includes chapters dedicated fully to synthetic data applications: fractal-like terrain generation with the diamond-square algorithm, and synthetic star clusters evolving over time and bound by gravity
