Introduction to Machine Learning
This workshop will begin with an introduction to machine learning lecture to review overall concepts, common algorithms and applications. This will be followed by a programming workshop using Python’s scikit-learn library to create a “bag of words”, train an algorithm to recognize patterns in text, and apply the algorithm to classify new documents.
We want to emphasize that while this is an intro to machine learning class, it’s not an intro to Python class! Prerequisites: Familiarity with python programming, including lists, dictionaries, loops, pandas data frames, and functions.
When you register, the Library reserves class space for you. Since many of our classes have a waitlist, please cancel your registration if you can no longer attend.
Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist