Machine Learning Course 2017 Fall @ National Taiwan University

• Lecturer
  • Hung-yi Lee
• Course Website
  • Machine Learning, 2017 Fall
• Homework
  • HW1: PM2.5 Prediction
    • Kaggle Link
    • Repository, Repository Readme
    • Keyword:
      • Regression Problem
      • Linear Regression
      • SGD, Batch Size
      • Learning Rate
      • Optimizer, Adam Optimizer, Ada Gradient
      • Regularization
  • HW2: Income Predicition
    • Kaggle Link
    • Repository, Repository Readme
    • Keyword
      • Binary Classification
      • Logistic Regression, Probabilistic Generative model
      • SGD, Batch Size
      • Learning Rate
      • Optimizer, Adam Optimizer, Ada Gradient
      • Regularization
      • Feature Normalization, standard score, min max, mean
  • HW3: Image Sentiment Classification
    • Kaggle Link
    • Repository, Repository Readme
    • Keyword
      • Multi-class Classification
      • Convolutional Neural Network
      • Convolution, Max Polling
      • Batch Normalization, Dropout
      • Activation Function, ReLU, LeakyReLU, PReLU, ELU
      • Saliency Map
      • Convolution Filter Visualization
  • HW4: Text Sentiment Classification
    • Kaggle Link
    • Repository, Repository Readme
    • Keyword
      • Binary Classification
      • Recurrent Neural Network, LSTM, GRU
      • Batch Normalization, Dropout
      • Activation Function, Swish, SELU
      • Word Embedding, FastText
      • Semi-supervised Learning
      • Ensemble