## Linear Algebra, Probability and Statistics

Blog | Author |
---|---|

Linear Algebra | Yue Chen |

Eigen Value Decomposition | Yue Chen |

Singular Value Decomposition (SVD) | Yanming Liu |

Probabilities and Statistics | Sai Akhilesh Ande |

Parameter Estimation - ERM, MLE & MAP | Sai Akhilesh Ande |

Hypothesis Testing and When to Use | Sachini Weerasekara |

A/B, A/A Testing, and When to Use | Yanming Liu |

## Machine Learning

Blog | Author |
---|---|

Probably Approximately Correct(PAC) Learning | Sachini Weerasekara |

Linear Regression | Karan Desai |

Closed Form Solution | Karan Desai |

Linear Regression Limitations - part 1 | Jinchuan He |

Linear Regression Limitations - part 2 | Yanming Liu |

Loss Functions - part 1 | Siddhartha Putti |

Loss Functions - part 2 | Siddhartha Putti |

Lasso, Ridge, and Robust Regression | Keerthi Godha |

Gradient Descent | Jinchuan He |

Bias-Variance Tradeoff | Siddhartha Putti |

Error Analysis | Keerthi Godha |

Model Evaluation | Jinchuan He |

Sampling Techniques | Siddartha Putti |

Reasoning behind Lasso and Ridge Distribution | Ishan Palit |