Mastering Machine Learning: Your Path to Data-Driven Research

“Mastering Machine Learning: Your Path to Data-Driven Research” covers essential concepts in classical machine learning, offered with beginner-friendly, hands-on programming demonstration in Python. Each week, we focus on one key algorithm, statistical concept, or tool and offer a real-world, hands-on data science application. 

Dive into the tools and concepts you will need to choose, design and deploy ML models. Brush up on the fundamentals of big data analysis, and access our fantastic resources!

RESOURCES AND NOTES:

• REGISTER to join in-person or via Zoom.
• Mastering Machine Learning wiki
• We meet in Weaver Science and Engineering Library, Rm 212.
• Zoom:  https://arizona.zoom.us/j/86423223879
• There will be no workshop during Spring Break week.
• Content schedule and content are subject to change. 

Date / Topic

01/18 Intro to Scikit-Learn
01/25 Supervised Learning: Regression
02/01 Supervised Learning:Classification
02/08 Unsupervised Learning: Dimensionality Reduction
02/15 Unsupervised Learning: Clustering
02/22 Ensemble Learning: Bagging
02/29 Ensemble Learning: Boosting
03/07 Spring break (No workshop)
03/14 Reinforcement Learning
03/21 Perceptrons
03/28 Recurrent Neural Networks (RNN)
04/04 Convolutional Neural Networks (CNN)
04/11 Autoencoders 
04/18 Generative Adversarial Networks (GAN)
04/25 LLM

REGISTER