cosmosa

8 ms·

1.
Translation using deep neural networks – Transformer(aamster.github.io)
2 points by cosmosa 1y ago|1 comments
2.
by cosmosa 1y ago
In Weaknesses of RNN architecture I’ll motivate the need for the transformer architecture. In Transformer architecture I’ll go more in depth into its architecture. Finally, in Experiments and results I’ll show how the transformer performanc
3.
Translation using deep neural networks (part 1)(aamster.github.io)
4 points by cosmosa 2y ago|0 comments
4.
Using Neuropixels technology, dataset of 300k mouse neurons(alleninstitute.org)
1 points by cosmosa 4y ago|0 comments
5.
by cosmosa 6y ago
The online degree earned is the same as one in person. However I found the lectures to be much more "staged" online than the free-flowing in person lectures and discussions. So I would argue that the online lectures are of lower q
6.
Building a Hotel Recommendation Model(medium.com)
3 points by cosmosa 6y ago|0 comments
7.
Building a Hotel Recommendation Model(medium.com)
1 points by cosmosa 6y ago|0 comments
8.
Building a Hotel Recommendation Model(medium.com)
2 points by cosmosa 6y ago|0 comments
9.
Building a Hotel Recommendation Model(medium.com)
1 points by cosmosa 6y ago|0 comments
10.
Building a Hotel Recommendation Model(medium.com)
1 points by cosmosa 6y ago|0 comments
11.
Building a Hotel Recommendation Model(medium.com)
1 points by cosmosa 6y ago|0 comments
12.
Where do software engineers at big tech companies come from?(medium.com)
2 points by cosmosa 6y ago|0 comments
13.
Backgrounds of Software Engineers at Google(medium.com)
1 points by cosmosa 6y ago|0 comments
14.
by cosmosa 6y ago
I would be grateful you have a job; most software engineering jobs pay relatively well. Be grateful for this pay. Find something outside of work that excites you if work doesn't excite you. Work isn't everything. If the actual thi
15.
Data Scientist vs. Statistician(youtube.com)
3 points by cosmosa 7y ago|0 comments
16.
by cosmosa 7y ago
pycharm -- 'nuff said
17.
Computer vision: interesting results from 3 different search engines(medium.com)
1 points by cosmosa 7y ago|0 comments
18.
Image Search: Google vs. Bing vs. Yandex(medium.com)
1 points by cosmosa 7y ago|0 comments
19.
by cosmosa 7y ago
Good article. Shows the risks/difficulty in applying machine learning models in the wild. Also shows the more sober side of applying ML models, where a domain expert says "Yeah, I know, I didn't need an ML model to tell me th
20.
by cosmosa 7y ago
It's memorized in the same way that natural language syntax is memorized. It's just learned.
21.
by cosmosa 7y ago
This is excellent. I had been wanting to see something like this for a long time. It was difficult for me to imagine the orbit of earth around the sun, and nothing I found showed it well. Thanks for making this!
22.
by cosmosa 7y ago
It is not really optional, it is always printed I think, and just thrown out by the cashier if you say you don't want it. If you do self checkout in my experience it's always printed. I think maybe gas stations are the only place
23.
Ask HN: Why do we still use paper receipts?
10 points by cosmosa 7y ago|17 comments
24.
by cosmosa 7y ago
What a bunch of odd features.
25.
Ask HN: Apple Streaming Subscription
1 points by cosmosa 7y ago|0 comments
26.
by cosmosa 7y ago
what is a scissor mechanism?
27.
by cosmosa 7y ago
Sounds interesting but unable to read the full paper
28.
by cosmosa 7y ago
I liked their presentation of the data. Cool interactivity and scrolling transition with notes beside the plots.
29.
by cosmosa 8y ago
I've seen many different formats used. 1. Focus on open ended questions with very little programming 2. Give very difficult algorithm questions 3. Take home assignment 4. Knowledge based questions 5. Brain teasers By far I think the mo
30.
Show HN: Data analysis – Overview of different types of data scientists(kaggle.com)
2 points by cosmosa 8y ago|0 comments

More ›