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[P] Simple ML explanations by MIT PhD students

Hi everyone,

We’re two MIT PhD students trying to bring understandable explanations and discussions about artificial intelligence and machine learning to the public. We just released two videos on:

The Machine Learning Lifecycle

and

Types of Machine Learning: Supervised and Unsupervised

Check out our ML Tidbits YouTube channel for short and sweet explanations, discussions, and debates about ML topics. We’re planning to release new videos on a weekly basis Our goal is to make ML accessible to the public, so that everyone can participate in discussions and make educated decisions about ML products and policies. We believe that teaching responsible ML from the start will create more accountability and enable better public discussions around the societal impacts of this technology.

Contact us: [mltidbits@mit.edu](mailto:mltidbits@mit.edu)

Our website: mltidbits.github.io

submitted by /u/mltidbits
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.