ML Study Jam - Lunch & Learn - Week 2

GDG Windsor

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.

Sep 29, 2022, 4:00 – 5:00 PM (UTC)

36 RSVP'd

Key Themes

About this event

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

Missed Week 1? No problem, we have you covered!

In Week 1 we covered:

Week 2:

Intermediate Machine Learning, Feature Engineering

Week 3:

Intro to Deep Learning, Computer Vision

Week 4:

Time Series, Intro to AI Ethics

Organizers

  • Ali El-Sharif

    St. Clair College

    Professor

  • Vivian Tang

    MBA Candidate

  • Daria Deriagina

    DashDev

    Developer

  • Esraa Abdelhalim

    University of Windsor

    Assistant Professor

  • Kiran Puthan

    Ordway Labs

    Solution Consultant

  • Ashlynn Ward

    University of Windsor

    Computer Science Student

  • Joe Youssouf

    Data Scientist

  • Keval Patel

    Data Scientist

  • Sam Ghasan

    Enterprise Architect

  • Arunesh Choudhary

    Dialabot.ai

    Conversational AI Engineer

  • Kayode Babalola

  • Troy Hector

    Mosaic North America

    St. Clair College