scvalencia

8 ms·

31.
An Introduction to Probabilistic Graphical Models (2003) [pdf](people.eecs.berkeley.edu)
214 points by scvalencia 10y ago|35 comments
32.
High Dimensional Probability [pdf](www-personal.umich.edu)
6 points by scvalencia 10y ago|0 comments
33.
Geohot: From the Transistor to the Web Browser(github.com)
2 points by scvalencia 10y ago|0 comments
34.
by scvalencia 10y ago
That's fantastic. Would be a great contribution to people interested in formal methods. How's your email?
35.
Challenge: You can hack me with neural networks, or by exploitation(github.com)
1 points by scvalencia 10y ago|0 comments
36.
by scvalencia 10y ago
Jmm, thanks for the fact, I would never imagine such a paper, but why are you saying that it's a piece of crap?
37.
The Lisp approach to AI (Part 1)(medium.com)
48 points by scvalencia 10y ago|3 comments
38.
The Lisp Approach to AI (Part 1)(medium.com)
3 points by scvalencia 10y ago|0 comments
39.
Mark Cuban on Trump: people are going to be replaced by AI, ML and NN(youtube.com)
8 points by scvalencia 10y ago|0 comments
40.
How does a Recommender System works, learn by doing your own in Python(medium.com)
2 points by scvalencia 10y ago|0 comments
41.
Learning the basics of Collaborative Filtering(medium.com)
1 points by scvalencia 10y ago|0 comments
42.
My first experience with deep reinforcement learning(medium.com)
8 points by scvalencia 10y ago|0 comments
43.
Implement your own very basic Recommender System (Python)(medium.com)
7 points by scvalencia 10y ago|0 comments
44.
Hello, Gradient Descent(medium.com)
1 points by scvalencia 10y ago|0 comments
45.
First steps in Recommender Systems(medium.com)
2 points by scvalencia 10y ago|0 comments
46.
The Very Basics of Recommender Systems(medium.com)
2 points by scvalencia 10y ago|0 comments
47.
An Introductory Recommender Systems Tutorial(medium.com)
1 points by scvalencia 10y ago|0 comments
48.
A concise yet useful Recommender Systems tutorial(medium.com)
3 points by scvalencia 10y ago|0 comments
49.
Show HN: So you think you can defeat the CAPTCHA(github.com)
4 points by scvalencia 10y ago|0 comments
50.
Show HN: A hacking challenge based on the MNIST dataset(github.com)
2 points by scvalencia 10y ago|0 comments
51.
Hack the CAPTCHA challenge(github.com)
1 points by scvalencia 10y ago|0 comments
52.
Machine Learning and Computer Hacking Simple Challenge(github.com)
2 points by scvalencia 10y ago|0 comments
53.
Show HN: MNIST data set based CAPTCHA challenge(github.com)
4 points by scvalencia 10y ago|0 comments
54.
by scvalencia 10y ago
Thanks!, I'm glad you consider Coddie as a teaching tool. I'll look after Blaze and SQLAlchemy to focus my energy on the language, which is the part I enjoy the most. Thank you very much!
55.
Show HN: A command line interface to UVA online judge (competitive programming)(github.com)
2 points by scvalencia 10y ago|0 comments
56.
Show HN: An Interpreter for Extended Relational Algebra (Scheme Based)(github.com)
52 points by scvalencia 10y ago|2 comments
57.
by scvalencia 10y ago
Inspired by the simplicity and elegance of both the Scheme programming language, and the relational algebra formal system, Coddie is an interpreter with Lisp-like syntax that presents in a succinct way a tool to study and explore relational
58.
Coddie: An Interpreter for Extended Relational Algebra(github.com)
1 points by scvalencia 10y ago|1 comments
59.
by scvalencia 10y ago
What does that mean to Scala?