Google’s Machine Learning Crash Course

1. Embeddings
   1. Terms
      • Collaborative Filtering
      • Sparse, categorical data
      • Word2Vec
   2. What do word embeddings encode and how are they be valuable?
2. Fairness
   1. What does fairness mean in the context of ML applications? Do you believe that this is an issue in current ML practice?
   2. Describe the basic types of bias identified in the materials.
   3. Describe the indicators of dataset bias.