'Train test' diaporamas de présentation

Collaborative Filtering: A Tutorial (abridged version of tutorial from my Web page, given at Dimacs W/S in 2003?)

Collaborative Filtering: A Tutorial (abridged version of tutorial from my Web page, given at Dimacs W/S in 2003?). William W. Cohen Machine Learning Dept Carnegie Mellon University. Everyday Examples of Collaborative Filtering. Rate it?.

894 views • 66 slides

2012 TAKS Training for Campus Testing Coordinators

647 views • 50 slides

Fitting Linear Models, Regularization (revisited) & Cross Validation

Fitting Linear Models, Regularization (revisited) & Cross Validation. ?. Slides by: Joseph E. Gonzalez jegonzal@cs.berkeley.edu. Previously. Feature Engineering and Linear Regression. Domain. Feature Engineering. Linear Regression. Recap: Feature Engineering.

825 views • 49 slides

An Introduction to Weka(cont .)

An Introduction to Weka(cont .). CS IT 5210 2013, Fall. Weka Experimenter. Experimenter: compare learning schemes on datasets Evaluation options: cross-validation, learning curve, hold-out Can also iterate over different parameter settings. Choose comparison field. Weka KnowledgeFlow.

483 views • 29 slides

Introduction

Introduction. Problem: Classifying attributes and actions in still images Model: Collection of part templates Specific scale space locations (human centric) Discriminative learning Sparse Activation. Motivation. Train. Test. Train. Test. Overview. Mining Parts &

253 views • 18 slides

Weka Just do it

Weka Just do it. Free and Open Source ML Suite Ian Witten & Eibe Frank University of Waikato New Zealand. Overview. Classifiers, Regressors, and clusterers Multiple evaluation schemes Bagging and Boosting Feature Selection: right features and data key to successful learning

291 views • 10 slides