nrox

that makes me proud :) do you have suggestions to improve this library ?

It looks based on this repo: https://github.com/nrox/q-learning.js and this example: http://nrox.github.io/q-learning.js/test2.html

this tool makes it easier to do this analysis, because we dont have to choose the interval to compare and it is more obvious.

something like this is done comparing monthly sums from a previous year with the current, to qualify the impact a campaign had in numbers. doing the difference you get the tendency for this year, and check if the actual result diverges from the tendency after the event.

uau! that's really something! looking forward to it.

The book is great. The problem with AI books and many technical books has to do with their huge size. The optimal instruction to learn AI for basic usage would be: provide an half page explanation and some working, tweakable examples.

The book seams accessible.

This subject is difficult and requires a lot of time to understand and put something useful into practice. AI books appear frequently these days. I feel that most of books and tutorials fail to deliver good practical examples and meta-code, focusing more on mathematical proofs.

I am struggling to understand Peter Abeel's aprenticeship learning: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.74....

He can resume the thing in a couple of slides. It seams short and simple (!?) but I think I am still away from truly understand it. Maybe next year.

creative thing!

Looking forward to read Chapters X1, X2 for Machine Learning. Thanks for all the work.

This is an experiment with genetic algorithms, and real-time user choices which replaces the fitness function.

Newborn online tool for building simple models of robots and simulate them, with JavaScript, and some drag and drops.

Requires WebGL, Chrome recommended.

GitHub repository: https://github.com/nrox/assemblino.js

Consult docs: https://assemblino.com/docs.html

Check the database (ongoing work): https://assemblino.com/explorer.html

Examples: Neural Network and Robotic Arm: https://assemblino.com/show/public20123372.html

Servo with brackets test: https://assemblino.com/show/public18979576.html

Multiple servos: https://assemblino.com/show/public19060338.html

cool! nice usage of images.

brain.js library is a NN implementation in JavaScript. It's very easy to use. https://github.com/harthur/brain

Here is a test with a model of a robotic arm: https://assemblino.com/show/public20123372.html