'Structural risk minimization' presentation slideshows

Lecture 1: Learning without Over-learning

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BLiNQ MEDIA Praneeth Vepakomma Senior Data Scientist

Generalization in Supervised Machine Learning. BLiNQ MEDIA Praneeth Vepakomma Senior Data Scientist. Hypothetical Knapsack of Coins:. Copper and Gold Coins Total number of coins is fixed and is a large sample. Capture-Recapture What is the proportion of Gold coins?.

426 views • 29 slides

Text Categorization With Support Vector Machines: Learning With Many Relevant Features

Text Categorization With Support Vector Machines: Learning With Many Relevant Features. By Thornsten Joachims Presented By Meghneel Gore. Goal of Text Categorization. Classify documents into a number of pre-defined categories. Documents can be in multiple categories

542 views • 24 slides