Always wanted to be smart and work smart not hard, so from many years I wanted to learn to utilize paper and pencil.
But it seems that me and paper and pencil are not so compatible as I would want.
Paper and pencil are not the best from usability point of view, additionally notes/drawings are not easy to edit.
Now I think I found solution of those problems.
Mainly thanks to whiteboard.
I love flexibility of it, I can draw, write, use math symbols and I don't need to use any menus.
I love this that if I make mistake I may simple clear this part.
And when I want to keep results I may use phone with CamScanner.
Because of this I found out that I'm missing 2 things.
Small A4 whiteboard and stylus to tablet ;-)
Ordered both from Amazon, and we will see if those will help.
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Sunday, February 26, 2017
Monday, February 20, 2017
Coursera courses - worth of doing?
Just finished Coursera course in Machine Learning.
It was interesting, I learn some interesting stuff.
Have something productive to do by last 6 weeks.
Just wonder, if it makes any difference ;-)
My guess is that this doesn't change this how attractive I'm on job market... I'm Senior Software Engineer so "they" are looking for me with or without certificate from Coursera.
But now I know at least some tools which may be used to play or even use machine learning.
I used it already in my ClickBaitaDetector. But still feel that this may be done much better.
I try to use it also to longer tests, but for now don't have idea how to work with text not looking at once on all words in this text, but on text as set of sentences.
"This is a test" and "This is a test?" looks the same if we are looking only at words.
And this is only tip of iceberg...
So, taking this course caused that I started to wonder how to do some things. So it seems that this was worth of my effort ;-)
It was interesting, I learn some interesting stuff.
Have something productive to do by last 6 weeks.
Just wonder, if it makes any difference ;-)
My guess is that this doesn't change this how attractive I'm on job market... I'm Senior Software Engineer so "they" are looking for me with or without certificate from Coursera.
But now I know at least some tools which may be used to play or even use machine learning.
I used it already in my ClickBaitaDetector. But still feel that this may be done much better.
I try to use it also to longer tests, but for now don't have idea how to work with text not looking at once on all words in this text, but on text as set of sentences.
"This is a test" and "This is a test?" looks the same if we are looking only at words.
And this is only tip of iceberg...
So, taking this course caused that I started to wonder how to do some things. So it seems that this was worth of my effort ;-)
posted from Bloggeroid
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Sunday, February 12, 2017
Happy Darwin's Day!
Today we have 206 years from day when Charles Darwin was born.
It is good cause to celebrate ;-)
And it is good time to celebrate.
Theory of Evolution was first (at least one of first) truly scientific theory.
It was from the beginning falsifiable, it predicted a lot of stuff which was found latter.
And it changed whole outlook on science, world and us.
Now when current administration in US undermines scientific data, when nationalists and racists raise theirs heads it may be good moment to remember about Darwin.
So, lets celebrate ;-)
We may celebrate with song:
And with visit to Natural History Museum (sadly this one was almost 2 years ago):
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It is good cause to celebrate ;-)
And it is good time to celebrate.
Theory of Evolution was first (at least one of first) truly scientific theory.
It was from the beginning falsifiable, it predicted a lot of stuff which was found latter.
And it changed whole outlook on science, world and us.
Now when current administration in US undermines scientific data, when nationalists and racists raise theirs heads it may be good moment to remember about Darwin.
So, lets celebrate ;-)
We may celebrate with song:
And with visit to Natural History Museum (sadly this one was almost 2 years ago):
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Me in SF Moma...
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Lemon battery...
How we may use Google Earth Plugin? :-)
Monday, February 6, 2017
Roomba friendly furniture...
Tomorrow my Roomba will clean my flat.
He (his name is George) is doing it 3 times a week.
At night before his work day I must prepare flat for him.
Mainly ensure that boxes from old phones are placed in the gap under refrigerator:
And that armchair from Ikea is "hanging":
I need also move air cleaner to other place.
My computer chair and whiteboard are making problems too...
And because of this I'm calling for action ;-) for more Roomba friendly furniture!
Let's make first world even more comfortable! ;-)
He (his name is George) is doing it 3 times a week.
At night before his work day I must prepare flat for him.
Mainly ensure that boxes from old phones are placed in the gap under refrigerator:
And that armchair from Ikea is "hanging":
I need also move air cleaner to other place.
My computer chair and whiteboard are making problems too...
And because of this I'm calling for action ;-) for more Roomba friendly furniture!
Let's make first world even more comfortable! ;-)
posted from Bloggeroid
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Sunday, February 5, 2017
How to detect clickbaits?
From some time I'm working on Chrome extension which will help me identifying clickbait links.
I was reading article The Pot-Belly of Ignorance and realized that clickbaits are very addictive, but you don't get anything from those. So I decided to found a way to get them rid of my reading ;-)
My first idea was to use naive Bayes classifier to detect clickbaits.
It works, but isn't perfect.
So my second try was with logistic regression.
I'm currently talking on-line classes from Machine Learning, and what would be better training in this than using some real world example? ;-)
This try was better ;-)
But lets back to the beginning.
First problem was to find some data to train algos...
Happily I found it on GitHub :-)
Idea was that to detect clickbait it should be possible to use only title of link, without looking on url.
It is rather more probable to see "you" in clickbait link than in proper article, and to see "washington" in proper article is more probable than to see it in clickbait.
Next assumption was that it doesn't matter if words are in capital or lower case, YOU and you should be treated the same.
With those assumption I started to play ;-)
First I used naive Bayes classifier.
Here I done whole training by myself... with little help with Python code from "Machine Learning in Action" (I needed to translate if from Python with NumPy to JavaScript for node.js).
It worked, but even when numbers from test set looked good, it was sometimes too eager to classify something as clickbait.
I suppose that this was caused by this that model assumed at the beginning that for new title it is more probable to be clickbait than proper article.
So I moved to logistic regression.
Here I decided to use GNU Octave to do dirty work of calculating everything ;-)
JavaScript only prepares matrix with vectors build from articles titles, next Octeve is using gradient to find values in vector which will be used latter to classify new data.
It seems to work better. On training set it have 100% accuracy ;-) on test set it is about 97%.
If you are interested in looking on some code, you may find it on my GitHub ;-)
You may find there extensions, and some code for training.
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I was reading article The Pot-Belly of Ignorance and realized that clickbaits are very addictive, but you don't get anything from those. So I decided to found a way to get them rid of my reading ;-)
My first idea was to use naive Bayes classifier to detect clickbaits.
It works, but isn't perfect.
So my second try was with logistic regression.
I'm currently talking on-line classes from Machine Learning, and what would be better training in this than using some real world example? ;-)
This try was better ;-)
But lets back to the beginning.
First problem was to find some data to train algos...
Happily I found it on GitHub :-)
Idea was that to detect clickbait it should be possible to use only title of link, without looking on url.
It is rather more probable to see "you" in clickbait link than in proper article, and to see "washington" in proper article is more probable than to see it in clickbait.
Next assumption was that it doesn't matter if words are in capital or lower case, YOU and you should be treated the same.
With those assumption I started to play ;-)
First I used naive Bayes classifier.
Here I done whole training by myself... with little help with Python code from "Machine Learning in Action" (I needed to translate if from Python with NumPy to JavaScript for node.js).
It worked, but even when numbers from test set looked good, it was sometimes too eager to classify something as clickbait.
I suppose that this was caused by this that model assumed at the beginning that for new title it is more probable to be clickbait than proper article.
So I moved to logistic regression.
Here I decided to use GNU Octave to do dirty work of calculating everything ;-)
JavaScript only prepares matrix with vectors build from articles titles, next Octeve is using gradient to find values in vector which will be used latter to classify new data.
It seems to work better. On training set it have 100% accuracy ;-) on test set it is about 97%.
If you are interested in looking on some code, you may find it on my GitHub ;-)
You may find there extensions, and some code for training.
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Friday, February 3, 2017
It seems that meditation helps ;-)
By last week I slept too little.
Mainly because it is almost impossible for me to go sleep early...
But other things expect that I will wake up earlier then I would prefer (for example I was conducting phone interview on 9:00 one day, so I needed to be conscious at this time ;-)).
Because of this today I was from start of the day really angry.
At some time I decided to make short break from work.
Sit on the couch and started to meditate.
It was short 4 minutes meditation, but after that I'm calm. And was even able to start to look on one of problems on my plate from different perspective and probably will be able to go with it.
So it seems that meditation works.. at least for me, and at lest sometimes ;-)
Mainly because it is almost impossible for me to go sleep early...
But other things expect that I will wake up earlier then I would prefer (for example I was conducting phone interview on 9:00 one day, so I needed to be conscious at this time ;-)).
Because of this today I was from start of the day really angry.
At some time I decided to make short break from work.
Sit on the couch and started to meditate.
It was short 4 minutes meditation, but after that I'm calm. And was even able to start to look on one of problems on my plate from different perspective and probably will be able to go with it.
So it seems that meditation works.. at least for me, and at lest sometimes ;-)
posted from Bloggeroid
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