ethanahte

6 ms·

1.
by ethanahte 3y ago
The answer was at least "maybe"!
2.
by ethanahte 3y ago
It's a nice project that was ahead of its time! I hope it can successfully ride the current hype wave :D
3.
by ethanahte 3y ago
Yeah, depending on the model, calculating the 10 million embeddings could take longer sequentially, but, as you mention, it's also an embarrassingly parallel operation. I don't think that indexing can be performed in parallel, but
4.
by ethanahte 3y ago
Hi, author here. I totally agree with you that, for large scale, you're going to need a vector database. My hope is more to help people avoid scenarios like the one in this comment: https://news.ycombinator.com/item?id=
5.
by ethanahte 3y ago
Hi, author here. 1. You make a great point about longer documents requiring multiple vectors which I should've mentioned in the post. Depending on your use case, this can certainly explode your dataset size! 2. Good to know about the p
6.
Optimal Peanut Butter and Banana Sandwiches(ethanrosenthal.com)
319 points by ethanahte 6y ago|106 comments
7.
Starting Up and Shutting Down, Quickly(ethanrosenthal.com)
1 points by ethanahte 7y ago|0 comments
8.
Doing Freelance Data Science Consulting in 2019(ethanrosenthal.com)
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9.
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1 points by ethanahte 8y ago|0 comments
10.
Time Series for scikit-learn People(blog.ethanrosenthal.com)
2 points by ethanahte 9y ago|0 comments
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Matrix Factorization in PyTorch(blog.ethanrosenthal.com)
3 points by ethanahte 9y ago|0 comments
12.
Optimization in Sickness and in Health(making.dia.com)
1 points by ethanahte 9y ago|0 comments
13.
5 Data Tips for Machine Learning in Production(making.dia.com)
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14.
From Analytical to Numerical to Universal Solutions(blog.ethanrosenthal.com)
1 points by ethanahte 10y ago|0 comments
15.
by ethanahte 10y ago
Dia&Co | Software Engineer, Product Manager, Data Scientist, and Data Analyst | New York, NY | Full-time, ONSITE, REMOTE Dia&Co is the premier personal styling service for plus-size women. We’re looking for engineers, product, and d
16.
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1 points by ethanahte 10y ago|0 comments
17.
by ethanahte 10y ago
Dia&Co | New York City or REMOTE | Software Engineer, Product Manager, Data Scientist, and Data Analyst | Full-time Dia&Co is the premier personal styling service for plus-size women. We’re looking for engineers, product, and data p
18.
Scope the Solution Before Solving the Machine Learning(making.dia.co)
1 points by ethanahte 10y ago|0 comments
19.
Using Keras' Pretrained Neural Networks for Visual Similarity Recommendations(blog.ethanrosenthal.com)
3 points by ethanahte 10y ago|0 comments
20.
by ethanahte 10y ago
Dia&Co | New York City or REMOTE | Software Engineer, Product Manager, and Data Scientist | Full-time Dia&Co is the premier personal styling service for plus-size women. We’re looking for software engineers, product managers, and da
21.
Learning to Rank Sketchfab Models with LightFM(blog.ethanrosenthal.com)
2 points by ethanahte 10y ago|0 comments
22.
by ethanahte 10y ago
Dia&Co | New York City or REMOTE | Software Engineer, Product Manager, and Data Scientist | Full-time Dia&Co is the premier personal styling service for plus-size women. We’re looking for software engineers, product managers, and da
23.
Hiring Data Scientists: A Classification Problem(making.dia.co)
4 points by ethanahte 10y ago|0 comments
24.
Intro to Implicit Matrix Factorization: Classic ALS with Sketchfab Models(blog.ethanrosenthal.com)
2 points by ethanahte 10y ago|0 comments
25.
Towards optimal personalization(blog.ethanrosenthal.com)
2 points by ethanahte 10y ago|0 comments