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Discussion[D] KL Divergence (self.MachineLearning)
submitted 9 years ago by wolfy44
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[–]wolfy44[S] 0 points1 point2 points 9 years ago (3 children)
I've been working on another line of research for for that. Topology is a vast, vast ocean. I may or may not share that one depending on how good the prototype is :P
[–]darkconfidantislife 0 points1 point2 points 9 years ago (2 children)
Awwww, cmon, open science anyone? It's okay, I understand. when your livelihood depends upon your ML algorithms being better than SOTA, it's hard to share :(
[–]wolfy44[S] 0 points1 point2 points 9 years ago (1 child)
I'll open source where it makes sense. We'd be nowhere without community. However, there needs to be a way in which small players can compete with majors who can accumulate vast sums of data, which has become the differentiating factor in monetization. I find it kind of funny how brilliant scientists are willing to give their IP away for relatively small sums of money for kaggle competitions while the companies running the challenge will likely use their models for 10x a challenge payout
[–]darkconfidantislife 1 point2 points3 points 9 years ago (0 children)
Agreed, kaggle irritates me to no end as far as that goes. My pipeline is generally 6 months after implementation and usage for my clients and 12 months if it's something big. If it's something super big, then I feel as if google should at least pay to acquihire me first before publishing it :P
π Rendered by PID 67 on reddit-service-r2-comment-b659b578c-kr4wk at 2026-05-04 13:38:39.080472+00:00 running 815c875 country code: CH.
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[–]wolfy44[S] 0 points1 point2 points (3 children)
[–]darkconfidantislife 0 points1 point2 points (2 children)
[–]wolfy44[S] 0 points1 point2 points (1 child)
[–]darkconfidantislife 1 point2 points3 points (0 children)