What to learn in this module#

In this module, we will learn how to embed networks into low-dimensional spaces. We will learn:

• one-hot encoding

• tf-idf

• distributed hypothes

• singular value decomposition

• eigendecomposition

• word2vec

• fasttext

• sem-axis

• bias in embedding