a curated list of R tutorials for Data Science, NLP and Machine Learning
- datascience
- data-science
- r
- text-mining
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a curated list of R tutorials for Data Science, NLP and Machine Learning
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Methods for Image-Based Cell Profiling