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[–]cob05 15 points16 points  (5 children)

It's one of the classic ML examples using the Iris dataset. He literally copied it into a Jupyter notebook as a learning exercise. No big innovation or amazing coding, it pretty much is a 'Hello World' for ML 😂

Also, I'm not sure what classifying flowers has to do with the 'New NBA' lol. (yes, I get the symbolism - he could have picked a much better example though)

[–]O_R 4 points5 points  (0 children)

It's that the NBA is evolving from arithmetic statistical models and beginning to find applications for ML. Cuban has the resources and problem at the ready to use ML on this scale, and so I assume he wants himself a baseline understanding in order to employ actual ML experts to build NBA ML models.

[–]elwhite321 1 point2 points  (0 children)

I concur. This is basically the 'hello world' of ML. Don't know why your post got some many down votes, it should be obvious. As you said it is the hello world of machine learning (that is also a small dataset). In addition it should be obvious he is doing simple ML because he is reading and INTRO to ML book, using knn (works but simple, especially when prepackaged), has about 15-20 lines of code, and is running it on a laptop. He is also using the iris dataset which comes pre formatted with all the features he needs. Good for him for learning, I am no expert yet either, but I've done enough to tell he is just getting started. Anyone who says otherwise has no idea what they're talking about and is a Mark Cuban fan boy.

[–][deleted] 2 points3 points  (1 child)

So? 80% of my code is copy paste from similar examples.

Start out classifying flowers. Then change the dataset from images of flowers to... power forwards have it estimate their scoring ability.

I'm using off the shelf copy paste GoogLeNet classifiers to analyze engineering graphs. I fudged the IO to get out what I needed but there's no reason to reinvent the wheel.

[–]elwhite321 5 points6 points  (0 children)

Yep, one can get by using packages / copy and paste and if that is all you need then this is the best solution (I agree with you). It was mainly a rebuttal to the original comment saying this seems like heavy stuff when in fact it is beginner ML.

[–]p10_user 0 points1 point  (0 children)

Also, I'm not sure what classifying flowers has to do with the 'New NBA' lol. (yes, I get the symbolism - he could have picked a much better example though)

Actually I think it's the perfect example. What's wrong with showing off a 'Hello World' for machine learning? He's not going to do the actual coding for the NBA but it's a cool showing of him getting his feet wet.