sadikkapadia1

7 ms·

1.
by sadikkapadia1 8y ago
That is what I have been told. It is however clearly messed up.
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by sadikkapadia1 8y ago
Surprising good.
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by sadikkapadia1 8y ago
It is hard to sell technology to companies when they have their own teams (often using free libraries). Embedded teams are always experts and will often discredit better technology. Often the only method of testing is A/B. These can ea
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by sadikkapadia1 8y ago
This is what working in a big company is like sometimes. Imagine a person like MaxLeiter working in Netflix. You would think that all staff would be happy that their work became easier. But a minority seem to have a zero-sum mindset. When I
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by sadikkapadia1 8y ago
I don't keep track of time. That system is old technology. I did confirm from a Netflix employee that they still use it a few months ago. Deep learning, LDA (even one of Xavier's pet projects - k-means), did not do better.
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by sadikkapadia1 8y ago
I wrote the recommendation system at Netflix (still in use after 5 years). Primary problem was company politics. Many groups were not happy that one person could write a system that was better in A/B test, had more uptime and cheaper t
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by sadikkapadia1 9y ago
The future is a long time. Eventually faster computation, larger memory would allow taking smaller and smaller steps during training (coupled with avoiding "bad optima" with stochastic training). All of this would improve robustne
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by sadikkapadia1 9y ago
https://research.google.com/pubs/pub45530.html is the most complete recent paper I've seen.
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by sadikkapadia1 9y ago
I wrote the recommender at Netflix about 5 years ago (every line of code). Netflix has been degrading it since then. The problem is that many companies are hotbeds of politics over expertise. Recommender, UI, A/B tests, etc are an exce
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by sadikkapadia1 9y ago
There are many intelligent replies here. 5 years ago I wrote the recommendation system that Netflix uses (and has degraded since then). One major problem is in the past certain senior Netflix managers are only interested in self promotion (
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by sadikkapadia1 9y ago
Netflix is no different to any other company. Your happiness depends on your boss. And even single teams go through bad patches. Some background. I wrote Netflix's recommendation system. Netflix later went on to take part in fraud agai