AI, Contents
AI01 : Data preprocessing
General dataset
Image dataset
Loading and manipulating images
Loading and manipulating images with deep learning framework
Scaling image pixel data
Using image data augmentation in keras
AI02 : Machine learning
Dimensionality reduction
Measure theory
Statistical learning
Performance evaluation
Regression
Classification
Clustering
k-Nearest neighbors
Support vector machine
Decision trees
Naive-Bayes classifier
Hidden markov model
Ensemble learning
Metrics
AI03 : Deep learning
Fundamental of deep learning
Artificial neural networks
Convolutional neural networks
Recurrent neural networks
Generative adversarial networks
Graph neural networks
Restricted boltzmann machines and auto-encoders
Variational autoencoder
Deep learning trend
AI04 : Reinforcement learning
The Markov Decision Process and Dynamic Programming
Gaming with Monte Carlo Methods
Temporal Difference Learning
Multi-Armed Bandit Problem
Deep Learning Fundamentals
Atari Games with Deep Q Network
Playing Doom with a Deep Recurrent Q Network
The Asynchronous Advantage Actor Critic Network
Policy Gradients and Optimization
Car Racing Using DQN
Recent Advancements and Next Steps