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Machine learning is the science of teaching computers to reproduce the assigned procedure without being explicitly programmed. It has been widely used not only in engineering (hydroinformatics, bioinformatics, genomics, geosciences and remote sensing, mechatronics) but also in economy, health sciences and even in real estates industry.

This workshop series provides an overall introduction to machine learning specifically with Python programming language which utilizes abundance of scikit-learn package. Be sure to register for both workshops. Register for Part 2.

Part 1: Intro to Machine Learning, scikit-learn package and data pre-processing, post-processing using evaluation metrics. Some supervised learning algorithm (regression analysis, distance-based algorithm, tree-based algorithm, Bayes algorithm, support vector machines).  

Part 2: Ensemble approach in ML, Variable Selection & Dimensionality Reduction and Unsupervised Learning. 

Users need to be familiar with basic Python programming and have an m2 account in order to use m2 HPC.

Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Tue Vu at least one week prior to the event to arrange for the accommodation. 

Presented by Tu Vue

Date:
Wednesday, February 16, 2022
Time:
1:00pm - 4:00pm
Location:
Fondren Library Red 110
Campus:
Fondren Library
Categories:
  Scholarly Impact & Publishing > Data Science     Scholarly Impact & Publishing > High Performance Computing  

Registration is required. There are 20 in-person seats available. There are 20 online seats available.