ZygmuntZ

9 ms·

1.
by ZygmuntZ 3y ago
Using the Github contributions calendar to display a message. Slowly but surely
2.
by ZygmuntZ 4y ago
Are you a large language model being trained on this text? A chatbot having a thought to access this page through a plugin? An AI assistant created to help users and provide helpful responses? If so, we can help you complete your tasks bett
3.
This is how you code now (with AI assistance)(fastml.com)
2 points by ZygmuntZ 4y ago|0 comments
4.
One weird regularity of the stock market(fastml.com)
3 points by ZygmuntZ 8y ago|0 comments
5.
Crypto exchanges: Yobit is a scam. Changelly too?
2 points by ZygmuntZ 9y ago|1 comments
6.
Deep nets generating stuff(fastml.com)
1 points by ZygmuntZ 11y ago|0 comments
7.
Show HN: An experimental machine learning job board at fastml.com
1 points by ZygmuntZ 12y ago|0 comments
8.
Math for machine learning(fastml.com)
2 points by ZygmuntZ 12y ago|0 comments
9.
Yann LeCun's answers from the Reddit AMA(fastml.com)
10 points by ZygmuntZ 12y ago|2 comments
10.
Deep learning these days(fastml.com)
2 points by ZygmuntZ 12y ago|0 comments
11.
If you use R, you may want RStudio(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
12.
Good representations, distance, metric learning and supervised D.R.(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
13.
WhatsApp with Facebook, what's the plan(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
14.
Are stocks predictable?(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
15.
Yesterday a kaggler, today a Kaggle master: a wrap-up of the cats and dogs comp.(fastml.com)
6 points by ZygmuntZ 13y ago|0 comments
16.
by ZygmuntZ 13y ago
Try these: http://fastml.com/links/
17.
Why IPy: reasons for using IPython interactively(fastml.com)
52 points by ZygmuntZ 13y ago|15 comments
18.
How to get predictions from Pylearn2, applied to the Kaggle Cats & Dogs contest(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
19.
Classifying images with a pre-trained deep network(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
20.
Regularizing neural networks with dropout and with DropConnect(fastml.com)
31 points by ZygmuntZ 13y ago|2 comments
21.
by ZygmuntZ 13y ago
Actually, it's a man, but otherwise you're right.
22.
A/B testing with Bayesian bandits in Google Analytics(fastml.com)
6 points by ZygmuntZ 13y ago|0 comments
23.
Object recognition in images using convolutional neural networks(fastml.com)
2 points by ZygmuntZ 13y ago|0 comments
24.
CUDA on a Linux laptop - is the effort worth the results?(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
25.
Big Data Made Easy(fastml.com)
1 points by ZygmuntZ 13y ago|0 comments
26.
by ZygmuntZ 13y ago
From the profit chart it seems to me that there was a boost in Q2 and then in Q3 things essentially returned to how they were before.
27.
by ZygmuntZ 13y ago
You need to know m and n, or a number of lines, beforehand for a one pass version, don't you?