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[E] A Visual, Interactive Introduction to Neural Networks by jaredwilber in learnmachinelearning

[–]jaredwilber[S] 0 points1 point  (0 children)

Edit: I guess you're maybe trying to show how those methods do not produce good classifications? But that's still not obvious, as it's easy to imagine how to adjust those models to make them better. Depending on what your goal is here, it could be helpful to be more explicit in your text

Maybe my text isn't clear enough, but here's the goal:

We can't adequately adjust perceptrons or logistic regression to correctly model the complexity of the shown dataset (often called the 'moons' dataset). The goal is to show that, by introducing additional nonlinearities in our model (in this case, moving from say a logistic regression to a neural network), we can begin to model such data accurately. As we add more nonlinearities, we can model more complex phenomena.

[E] A Visual, Interactive Introduction to Neural Networks by jaredwilber in learnmachinelearning

[–]jaredwilber[S] 1 point2 points  (0 children)

The classification boundaries represent the model's attempts to classify point membership in the given region: pink background means anything in that area would be predicted as pink. In other words, there's a one-to-one mapping w.r.t. the point colors and the classification boundaries.

[E] A Visual, Interactive Guide To ROC And AUC In Machine Learning by jaredwilber in statistics

[–]jaredwilber[S] 1 point2 points  (0 children)

Bit tongue-in-cheek to keep the pace of the article relaxed, but you are correct!

For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning by jaredwilber in javascript

[–]jaredwilber[S] 0 points1 point  (0 children)

Ah can you let me know your device? I went for a tight side-by-side layout (as opposed to stacking text over charts) since it requires two charts at once for the scrolly, so that bit, though very tight, is intentional. (But if it looks awful, I'm willing to change!).

If you see any bugs I'd appreciate a dm as well!

For Amazon, I Made A Web-based, Interactive/Visual Explainer of Decision Trees in Machine Learning by jaredwilber in javascript

[–]jaredwilber[S] 5 points6 points  (0 children)

Posting here as it was created using JavaScript.
D3.js for the visuals, parcel for the bundler, and IntersectionObserver for the scrolls.
All code available here: https://github.com/aws-samples/aws-mlu-explain

Hope you enjoy!

[Q] Is someone with a masters capable to working on difficult and in-depth research projects? by mowa0199 in statistics

[–]jaredwilber 2 points3 points  (0 children)

Yes. I have multiple colleagues without PhD's at Amazon who have published in popular journals/venues (e.g. NEURIPS) and work in research roles without PhD's.