Exploring Applied Machine Learning 2019 Lecture 02 Version Control And Testing
Exploring Applied Machine Learning 2019 Lecture 02 Version Control And Testing reveals several interesting facts.
- Grid Search, Randomized Search Bayesian Optimization, SMBO Successive halving, hyperband auto-sklearn Freely borrowed ...
- CBOW, skip-grams, Word2Vec, paragraph vectors Gradient descent and stochastic gradient descent Class website with slides ...
- Great okay so here is the example player that we've a lot of people have been using already so we're gonna clone it with
- Nearest neighbors, nearest centroids, cross-validation and grid-search Materials on the course website: ...
- Feature importance measures, partial dependence plots. Univariate and multivariate feature selection, recursive feature selection.
In-Depth Information on Applied Machine Learning 2019 Lecture 02 Version Control And Testing
Basics of Gradient boosting and "extreme" gradient boosting Calibration curves and calibrating classifiers with CalibratedClassifierCV. Introducing what 1-9-19.
Time: November 22nd 2018 from 1PM to 2PM CET Agenda: -
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