Machine Learning Classification

Machine Learning Classification:

• Supervised Learning
  • Regression
  • Support Vector Machines
  • Decision Trees
  • K Nearest Neighbour
  • Naive Bayes Classifiers
  • Boosting
  • Ensemble Methods
  • Random Forest Trees
  • Neural Networks [video]
    • Multi Layer Perceptron
    • Back Propagation
    • Deep Neural Networks
      • Deep Multi Layer Perceptron
      • Recurrent Neural Networks
      • Convolutional Neural Networks
        • Le-Nets
        • AlexNets
        • VGG
        • Residual Nets
        • Inception Nets
      • Long Short Term Memory
      • Restricted Boltzmann Machines
      • Deep Belief Nets
      • Autoencoders
• Unsupervised Learning
  • Clustering
    • KMeans
    • DBSCAN
  • Self Organizing Maps
  • Generative adversarial networks (GANs)
• Reinforcement Learning
  • Q-Learning
  • Value-Based
  • Policy-Based
  • Model-Based
  • Deep Reinforcement Learning

Machine Learning Algorithms:

• Computer Vision:
  • Object Detection:
    • Object Detection with Sliding Window
    • R-CNN
    • Fast R-CNN
    • Faster R-CNN
    • YOLO (You look only once)
  • Face Recognition:
    • One Shot Learning
    • Siamese Network
    • FaceNet
    • DeepFace
  • Neural Style Transfer
• Sequential Models:

Machine Learning Libraries and Tools:

• Scikit Learn: ML library for Python
• Tensorflow: An open source machine learning framework with Python
• Pytorch:  is a deep learning framework with Python
• Caffe: is a deep learning framework
• Theano:  “is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently”.
• DeepLearning4j : “Open-Source, Distributed, Deep Learning Library for the JVM”
• DarkNet: “Open Source Neural Networks in C”