atrilla

9 ms·

31.
by atrilla 12y ago
I agree with you. It's a matter of taste and purpose, and this is dynamic, so you'll probably want to see them all in time. My motivation has always been focused on deliberate practice (i.e., a fancy way to approach personal and p
32.
by atrilla 12y ago
A very interesting requirement. Thanks for noting it. I'm setting up a blog on Artificial Intelligence (which inherently includes Machine Learning) focused on the contents of the AIMA book (by Stuart Russell and Peter Norvig): http:&#
33.
Would a heap onto a SQL DB be an elegant appoach for big data?
1 points by atrilla 13y ago|0 comments
34.
Why I still enrolled on an MBA(atrilla.net)
1 points by atrilla 13y ago|0 comments
35.
Ask HN: how can I estimate demand for developing bespoke data proc SW?
1 points by atrilla 13y ago|0 comments
36.
Ask HN: how can I know the market size for developing bespoke data proc scripts?
1 points by atrilla 13y ago|0 comments
37.
How can I attain the optimum balance between style and content?
1 points by atrilla 13y ago|0 comments
38.
I enabled comments on my blog. Now what?(atrilla.net)
1 points by atrilla 13y ago|0 comments
39.
Ask HN: I'm a research engineer. How bad do I need an MBA?
2 points by atrilla 13y ago|3 comments
40.
Down to the nitty-gritty of graph adjacency implementation(atrilla.net)
1 points by atrilla 13y ago|0 comments
41.
Growing better tomatoes with genetic selection and other farming hacks(atrilla.net)
2 points by atrilla 13y ago|0 comments
42.
Long-term research/engineering projects: writing and coding(atrilla.net)
1 points by atrilla 13y ago|0 comments
43.
by atrilla 13y ago
Hi, thanks for your feedback. I've been posting technical Machine Learning issues (my interests) for a while now (a few years), not quite regularly I must say, but no success. I assume I must be doing something wrong here, because othe
44.
Ask HN: What are some key points to raise discussion on HN?
1 points by atrilla 13y ago|2 comments
45.
VSMpy: a bare bones implementation of a Vector Space Model classifier in Python(atrilla.net)
3 points by atrilla 13y ago|0 comments
46.
Gaining control over the tools: goodbye Google Reader(atrilla.net)
1 points by atrilla 13y ago|0 comments
47.
Lean Startup hackers were already there back in the early eighties(atrilla.net)
2 points by atrilla 13y ago|0 comments
48.
Iterating a RESTful API service for NLP(atrilla.net)
1 points by atrilla 14y ago|0 comments
49.
by atrilla 14y ago
Hi, thanks for your feedback. The classifier behind the scenes has already been trained with a supervised learning algorithm, so it can be customised/adapted to any user input. This is a business case I explore with each customer in order t
50.
Show HN: nlpTools API - sentiment analysis of online news media(nlptools.atrilla.net)
3 points by atrilla 14y ago|2 comments
51.
by atrilla 14y ago
Yep, Pattern Classification by Duda, Hart and Stork: http://www.amazon.com/Pattern-Classification-2nd-Richard-Dud... It is very pragmatic, including algorithms for many machine learning and artificial intelligence topics (from fitting fun
52.
Show HN: my business-oriented data analysis profile(atrilla.net)
2 points by atrilla 14y ago|0 comments
53.
Ants solve search problems(atrilla.net)
2 points by atrilla 14y ago|0 comments
54.
by atrilla 14y ago
Great work! But I missed the "sentiment analysis" flavour that used to be so popular some years ago with the NLP bunch... In this sense, I did something similar: http://dtminredis.housing.salle.url.edu:8080/EmoLib/ and http://nlptools.at
55.
The abridged build-measure-learn loop: innovate and seek excellence(atrilla.net)
1 points by atrilla 14y ago|0 comments
56.
Stop specialisation, embrace generalisation to face real world industry problems(atrilla.net)
6 points by atrilla 14y ago|0 comments
57.
Sure, you can do that... and still get an IEEE published article(atrilla.net)
1 points by atrilla 14y ago|0 comments
58.
Perceptron learning with the overused Least Squares method(atrilla.net)
2 points by atrilla 14y ago|0 comments
59.
by atrilla 14y ago
Input text is first normalised, separated into syllables, detecting its stress, and converted into a sequence of phonemes: http://atrilla.net/data/files/micnlp09.pdf Then, a waveform generator creates the audible sounds based on this phon
60.
Least Squares regression with outliers is tricky(atrilla.net)
1 points by atrilla 14y ago|0 comments

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