Event Date & Time
This workshop is the first in a series on Machine Learning. It’s main focus is to present the languages of machine learning in an intuitive way. The philosophical thread that links these workshop sessions is to emphasize synthesis rather than prerequisites. In other words, the ultimate goal is accessibility without the weight of having to do math remediation or requiring a background in coding.
Participants are expected to commit to all 4 sessions of the workshop.
Basic coding elements will be introduced while material is being presented. The main vehicle for computing will be the Jupyter notebooks which incorporate computer code, visualizations and descriptive text. The sessions will be interactive and presentation-light.
- Introduction: The languages of machine learning, installing and using Jupyter notebooks
- Calculus in one day: The basic concepts of calculus using a physical simulator
- The puzzles of probability: How do we count event occurrence
- Field laboratory: Measuring slopes — the fastest way down a mountain
Venue and Times:
- July 20th 10:30am – 12:00pm Zoom
- July 21st 10:30am – 12:00pm Zoom
- July 22nd 10:30am – 12:00pm Zoom
- July 23rd 10:30am – 12:30pm Hands-On Workshop*
The equation of a straight line y=m*x+b is paramount in basic machine learning language.
Looking forward to seeing you at the workshop!
- This event will hosted online on Zoom and on Campus