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Ebook Understanding machine learning: From theory to algorithms - Part 1
Part 1 of ebook "Understanding machine learning: From theory to algorithms" provides readers with contents including: foundations; from theory to algorithms; a formal learning model; learning via uniform convergence; the bias-complexity tradeoff; linear predictors; model selection and validation; convex learning problems; support vector machines; multiclass, ranking, and complex prediction problems;...
284 p vcmi 21/10/2023 31 0
Từ khóa: Understanding machine learning, Machine learning algorithms, Formal learning model, The bias-complexity tradeoff, Linear predictors, Convex learning problems, Support vector machines
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