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title category
Machine Learning
Libraries

Machine Learning

Table of Contents

Books

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Websites

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Libraries

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Python

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Java

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JavaScript

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Lua

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Algorithms

  • Kernel Density Estimation and Non-parametric Bayes Classifier
  • K-Means
  • Affinity Propagation
  • Hierarchical clustering/Agglomerative clustering
  • Kernel Principal Components Analysis
  • Linear Regression
  • Logistic Regression
  • Neighbors (Nearest, Farthest, Range, k, Classification)
  • Non-Negative Matrix Factorization
  • Support Vector Machines
  • Dimensionality Reduction
  • Fast Singular Value Decomposition
  • Decision Tree
  • Random Forest
  • Bootstrapped SVM
  • DBSCAN
  • Principal Component Analysis(PCA)
  • Linear Discriminant Analysis (LDA)
  • Autoencoders
  • Bagging and boosting
  • Apriori

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Popular Datasets

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Relevant Research Papers

Will be updated soon!

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Podcasts

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