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Probability
Probability Theory
Combinatorics and Probability
Bayesian Method
Bayesian Networks
Entropy
Random Processes
Some Problems
Logic and Probability I
Theories Examples
Logic and Probability II
Interval Probability
Fuzzy Logic
Dempster-Shafer Theory
Interval Logic
ML
Introduction to ML
Linear Model
Gradient Method
Binary Metrics
Computational Graph
N-Grams
Distance and Similarity
Feature Space
Principal Component Analysis
Multidimensional Scaling
Model Interpretation
RL
Reinforcement Learning
Q-Learning
DQN
Policy Methods
Neural Networks
Introduction to CNNs
CNN for CIFAR10 Dataset
Psychoanalysis of CNNs
Word Embedding
Word2Vec Embedding
Elmo Embedding
RNN
RNN - Character Prediction
RNN Encoder-Decoder
Pretrained Embedding
Attention Mechanism
Transformer Architecture
BERT Model
GPT Model
Frameworks
Numpy - Tensors
Torch: Tensors
Torch: Computational Graphs
Torch: Networks
Torch: Networks - Reference
Keras: Tensors, Layers
Keras: RNN
Keras: Embedding
NLP
RASA: Introduction
RASA: Stories and Responses
RASA: Slots and Forms
RASA: Actions
RASA: NLU pipeline
RASA: Stories Generator
NLP Datasets
ROC Stories
Miscellaneous
Python
Matplotlib: plt
Pandas
Coming soon!
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Intro