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;...

Từ khóa: Understanding machine learning, Machine learning algorithms, Formal learning model, The bias-complexity tradeoff, Linear predictors, Convex learning problems, Support vector machines