Submitted by anishathalye t3_1194wm0 in MachineLearning

Announcing the first-ever course on Data-Centric AI. Learn how to train better ML models by improving the data.

Course homepage | Lecture videos on YouTube | Lab Assignments

The course covers:

MIT, like most universities, has many courses on machine learning (6.036, 6.867, and many others). Those classes teach techniques to produce effective models for a given dataset, and the classes focus heavily on the mathematical details of models rather than practical applications. However, in real-world applications of ML, the dataset is not fixed, and focusing on improving the data often gives better results than improving the model. We’ve personally seen this time and time again in our applied ML work as well as our research.

Data-Centric AI (DCAI) is an emerging science that studies techniques to improve datasets in a systematic/algorithmic way — given that this topic wasn’t covered in the standard curriculum, we (a group of PhD candidates and grads) thought that we should put together a new class! We taught this intensive 2-week course in January over MIT’s IAP term, and we’ve just published all the course material, including lecture videos, lecture notes, hands-on lab assignments, and lab solutions, in hopes that people outside the MIT community would find these resources useful.

We’d be happy to answer any questions related to the class or DCAI in general, and we’d love to hear any feedback on how we can improve the course material. Introduction to Data-Centric AI is open-source opencourseware, so feel free to make improvements directly: https://github.com/dcai-course/dcai-course.

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Comments

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iidealized t1_j9kws3r wrote

Cool to see these topics being taught. Definitely agree these are important concepts that most ML classes skip for some reason

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athos45678 t1_j9lz58x wrote

And those of us who taught ourselves need it even more. Love me some open source learning

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thecodethinker t1_j9nf1dk wrote

Yep. Generating and properly preprocessing datasets is always where I feel lost when working on a new project

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memberjan6 t1_j9maqgc wrote

Mlops is the datacentric course developed by andrew ng last year. Its at coursera fyi

So now there are at least two. Nice.

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ekbravo t1_j9ldq4z wrote

Thank you so much! I’ve been struggling with class imbalance and outliers in my project. Will dive right in.

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ajmaverick007 t1_j9mib8n wrote

Love to see this course which puts data first. Looking forward to learning something new.

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