ML Study Jams are a learning opportunity which takes 4 weeks of time leveraging Kaggle Courses. It includes hands-on assignments, tutoring, tech talks and group discussions. Kaggle is the world’s largest data science and machine learning community. It offers a no-setup, customizable, Jupyter Notebooks environment, access to free GPUs and a huge repository of community published data & code.
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Join the Windsor Google Developers Group for 4 weeks of learning on Machine Learning working through Kaggle Courses and collaborating with others. This is ideal for those new to Machine Learning or those with an basic knowledge of it looking to start working in the field.
Join us on Slack here -> https://join.slack.com/t/windsorgoogle-1id9989/shared_invite/zt-1fggvahgk-PjCBOC6yw8dOJ2N1RdQTZw
PLEASE NOTE: THIS IS A 4 WEEK SERIES THAT BUILDS ON PRIOR WEEKS MATERIALS. We will do our best to provide materials for prior weeks for anyone joining mid-stream, or anyone that misses a session.
Week 1:
Intro to Machine Learning, Pandas
Week 2:
Intermediate Machine Learning, Feature Engineering
Week 3:
Intro to Deep Learning, Computer Vision
Week 4:
Time Series, Intro to AI Ethics
St. Clair College
Professor
Bell Canada
Solution Consultant
St. Clair College
Hackforge
AI Specialist
St. Clair College
University of Windsor
University of Windsor
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