sunyu0410/machinelearningworkshop2019

Tutorial files (SageMaker / CoLab) for the 2019 ACPSEM Machine Learning Workshop

Tutorial files for the 2019 ACPSEM Machine Learning Workshop

Yu Sun [email protected]

File format

IPython notebook files, to be used by Amazon SageMaker or Google Colab during the workshop

Content

• Day 1: Python programming basics
• Day 2: Traditional machine learning methods
  • Correlation, data partitioning, model training and performance evaluation
  • Image processing and feature engineering
  • Overfitting and solutions
  • Unsupervised learning using principal component analysis (PCA) as an example
• Day 3: Deep learning and advanced topics
  • Neural network
  • Convolutional neural networks (CNNs)
  • Distributed learning
  • Generative adversarial networks (GANs)

Finished version

A finished version can be found in the finish folder under each day's folder.