Predictive with R & Topic with Python
Predictive Modeling Using R
“Predictive modeling leverages statistics to predict outcomes”
–Introduction to Predictive Modeling with Examples – SAS Global Forum 2012
A Topic model, in machine learning and natural language processing, is a type of statistical model for discovering the abstract “topics” that occur in a collection of documents.
Podcast: O’Reilly – Topic models: Past, present, and future
From O’Reilly…Ben Lorica sits down with David Blei, co-author of the seminal paper on topic models, and who remains one of the leading researchers in the field. We talked about the origins of topic models, their applications, improvements to the underlying algorithms, and his new role in training data scientists at Columbia University.
Topic Modeling with Python.
Below is a recent video of Christine Doig, a data scientist at Continuum Analytics. “The talk will go through the full topic modeling pipeline: from different ways of tokenizing your document, to using the Python library gensim, to visualizing your results and understanding how to evaluate them.”