Category Course Articles

S36L07 – Dendrogram

S37L01-Reinforcement learning – basics

S37L02 -Bonus video – Reinforcement learning

S38L01-Why Reinforcement learning

S38L02 -Explore only, Exploit only process

S38L03 -Upper Confidence Bound Algorithm

S38L04 -Upper Confidence Bound Algorithm continues

S39L01 – What exactly is NLP

S39L02 – Text classification using ML, issues

S39L03 – Text to document term matrix

S39L04 – Term frequency inverse document frequency

S39L05 – Building Text classifier

S39L06 – Building Text classifier continues with pipeline

S39L07 – Building Text classifier continues with multiple models

S40L01 – NLP, DL, DNLP

S40L02 – Neurons

S40L03 – Why Neural Network

S40L04 – Data representations using numbers

S40L05 – Neural Network – Data conversion process for input layer

S40L06 – Neural Network – Activation value and Overfitting concept

S40L07 -Neural Network – Generalization, Simplification, Filter sizes

S40L08 – Neural network, behind the scene calculations

S40L09 – Activation Functions

S40L10 – Types of Activation Functions

S40L11 – Back propogation