Text Mining II – Sentiment Analysis
The methods of supervised and unsupervised learning can be applied to data that arises in…
Text Mining III – Text Visualization and Misc.
The methods of supervised and unsupervised learning can be applied to data that arises in…
Spotlight on Clustering II
In this course, we introduce a number of clustering methods: EM clustering, latent Dirichlet allocation,…
Math/Stats for Machine Learning and AI
To be comfortable with machine learning, learners need some knowledge of a number of mathematical…
Feature Selection and Dimension Reduction
Data mining is the collection of processes by which we can extract useful insights from…
A Big Data Adventure
Data science tasks break down when the datasets become too large. Throw enough time and…
Data Insights Fundamentals
Some fundamental ideas and perspectives apply to any kind of data practice. This course introduces…
Programming Basics
Programming languages go in and out of style. To be a strong programmer, it’s important…
Data Processing
Data analysis can’t happen without data, and that data must come from somewhere. Data collection…
Data Engineering Basics
(details coming soon)