persiyanov/ml-mipt

Things I taught at MIPT Data Mining In Action in Spring 2016

My materials for MIPT DMIA course in Spring 2016

• 20.03.2016: Recommender Systems I: Content-Based Recommenders

• 27.03.2016: Recommender Systems II: Personalising Item-to-Item with Clustering via Topic Modeling, Virality Prediction

• 16.04.2016: Amazon EC2 How-To + Keras benchmark

  • Additional Links:
  • NN Intro -- https://cs231n.github.io/neural-networks-1/
  • NN Regularization & Initialization -- https://cs231n.github.io/neural-networks-2/
  • NN Optimization -- https://cs231n.github.io/optimization-2/
  • Backpropagation Explained -- https://www.willamette.edu/~gorr/classes/cs449/backprop.html
  • Hacker's guide to Neural Networks -- https://karpathy.github.io/neuralnets/

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MIPT DMIA Fall 2017

• 26.11.2016: Backpropagation, Word Embeddings, Recurrent Neural Networks