English»Machine learning | searchivarius.org
log in | about 

(Hyper)parameter tuning



Deep learning

Feature Selection, Dimensionality Reduction, and Anomaly Detection

Linear methods

Naıve Bayes


Deep learning, Toolkits/Frameworks, Support Vector Machines (SVM)...

Support vector machines

Trees & Forests

PyTorch tutorials, Expectation-Maximization (EM)



A brief history of neural nets and deep learning  Andrey Kurenkov
Abridged List of Machine Learning Topics  
An Introduction to Conditional Random Fields  Charles Sutton, Andrew McCallum
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data  John Lafferty, Andrew McCallum, Fernando Pereira
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?  Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, Dinani Amorim
Machine Learning in Automated Text Categorization  F Sebastiani - A must read paper.
Machine Learning: The High-Interest Credit Card of Technical Debt  D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young - See also an overview of the paper in the blog post.
MLcomp   - MLcomp is a free website for objectively comparing machine learning programs across various datasets for multiple problem domains.
Reliable Reasoning: Induction and Statistical Learning Theory  Gilbert Harman, Sanjeev Kulkarni
Scaling to very very large corpora for natural language disambiguation  Michele Banko, Eric Brill
Statistical Machine Translation   - The website is dedicated to research in statistical machine translation, i.e. the translation of text from one human language to another by a computer that learned how to translate from vast amounts of translated text.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.  Trevor Hastie , Robert Tibshirani , Jerome Friedman