Building Deep Convolutional Neural Network (CNN) with TensorFlow- Part 2 ( Understanding CNN)

NLP: Understanding the N-gram language models

Simple Deep Neural Networks for Text Classification

Kalman Filter - Part 1

Conditional Random Fields - Stanford University (By Daphne Koller)

Graph Representation Learning (Stanford university)

Gaussian Mixture Models for Clustering

NLP - Text Preprocessing and Text Classification (using Python)

Deep Learning for Handwritten Digit Recognition - Part1

Template Models: Hidden Markov Models - Stanford University

Feature Extraction from Text (USING PYTHON)

Understanding Metropolis-Hastings algorithm

Graph Node Embedding Algorithms (Stanford - Fall 2019)