Knowledge Base

Here we present basic ideas and elements of machine learning
Starters
Methods
  1. What is Machine Learning?
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    machine learning among other related concepts
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  1. Logistic Regression
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    L1 and L2 regularization
  2. AdaBoost
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    Boost of Ada
  3. Classification tree
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    SVM
  4. Decision tree
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    random forest
  5. Neural Networks
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    Convolutional and Deep Learning
Tools
Recipes
  1. Numpy
    >
    numerical recipes in python
  2. Pandas
    >
    data frames in python
  3. scikit-learn
    >
    machine learning in python
  4. R
    >
    machine learning in R
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  1. How to prepare your data
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    Data
  2. How to implement your methods
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    methods
  3. How to visualize the results
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    plots
  4. How to improve performance
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    regularization
  5. How to make money
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    $
Where is the place of machine learning in the great scheme of things?
Certainly not the only one venn diagram around there but the one that seems to be very agreeable.