Answer Posted / Shuchi Garg

Latent Dirichlet Allocation (LDA) is a generative probabilistic topic modeling algorithm used for unsupervised discovery of thematic structure in large collections of text documents. It assumes each document is a mixture of topics, and each topic is a distribution over words.

Tell us do you have research experience in machine learning?

168

What are standardization and normalisation? Give one advantage of each over the other?

94

Do you have research experience in machine learning?

93

Tell me what are the last machine learning papers you've read?

230