Data Science Wiki

Cheatsheet

This consists of all models used within machine learning that are useful to me.

The cheatsheet can be found here

Machine Learning

• Data Preprocessing
• Regression Models
• Classification Models
• Clustering Models
• Association Rule Learning
• Reinforcement Learning
• Dimensionality Reduction
• Model Selection
• XGBoost

Deep Learning

• Supervised Deep Learning Models
  • Artificial Neural Networks (ANN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
• Unsupervised Deep Learning Models
  • Self Organizing Maps (SOM)
  • Boltzmann Machines (BM)
  • AutoEncoders (AE)

Computer Vision

• Face Recognition
• Object Detection
• Generative Adversarial Networks (GANs)

Artificial Intelligence

• Q-Learning
• Deep Q-Learning
• Deep Convolutional Q-Learning
• Asynchronous Advantage Actor-Critic (A3C)

Natural Language Processing

• Deep Natural Language Processing

ML, DL, NLP and Computer Vision APIs

• Tensorflow
• Keras
• OpenCV

Running ML models in production

• Model compression techniques
• Tensorflow serving Tensorflow Lite
• Docker
• CI/CD with Github
• When to retrain model