## 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 |

## Optimization Techniques

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

Gradient Descent | Jinchuan He |

Convex Optimization - Part 1 | Shamhith Kamasani |

Convex Optimization - Part 2 | Shamhith Kamasani |

## 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 |

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 |

Data Cleaning Techniques | Shamhith Kamasani |

Data Balancing Techniques | Ishan Palit |

Statistical Tests for Categorical Columns | Phanindra Reddy Myakala |

Statistical Tests for Numerical Columns | Pratiksha Pradhan |

Time-Series Outlier Detection | Sai Revanth |

## Natural Language Processing

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

Text Cleaning | Ramin Mohammadi |

All Sorts of Text Vectorization Techniques | Ramin Mohammadi |

Understanding Different Types of Text Embeddings in NLP | Ramin Mohammadi |

Recurrent Neural Networks - A Beginner’s Guide | Ramin Mohammadi |

Multi-Head Self-Attention | Ramin Mohammadi |

Attention Mechanism | Ramin Mohammadi |