abhgh

40 ms·

361.
by abhgh 10y ago
I have a very similar problem. I bought a Kindle years ago because I thought it will solve all my reading problems - I wasn't even thinking about annotating stuff, so my use-case is weaker/easier than yours. Now, I tend to do two
362.
by abhgh 10y ago
That's helpful advice - thank you!
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by abhgh 10y ago
Prolog was part of course that I'd taken during my Masters. I loved it then. I would love to take a closer look when I have time ... whenever that happens <sigh> ... Interestingly, IBM Watson uses Prolog. [1] [1] https:/&#x
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by abhgh 10y ago
I was about to comment this. You don't mess around with this highly functional a judge ;-)
365.
by abhgh 10y ago
I'm with you with the Lync-hate. I've had problems with getting simple chat to work - in the middle of a chat session that seems to go well, Lync suddenly informs me some message wasn't delivered. And this happens often enoug
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by abhgh 10y ago
This is a great and oft-forgotten point. I like to think all summary numbers are lossy, you are only free to pick your poison.
367.
by abhgh 10y ago
I occasionally organize ML "orientation" sessions, and one of the first models I talk about is linear regression. For this very reason. Its an excellent bridge between what people are already familiar with and the larger "lea
368.
by abhgh 10y ago
I think this is plain stupid. We had an amateur astronomer in our apartment, who, I am assuming now, bought his telescope in India. This is around the same time you've mentioned ~ 2000ish. If their sale here is not prohibited, it makes
369.
by abhgh 10y ago
That particular advantage with Decision Trees is lost when its part of an ensemble classifier. Which is unfortunate, since their performance is more reliable in these setups.
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by abhgh 11y ago
I worked for Adobe India for ~2 years. The experience varies with projects/teams. I know a lot of people who were content with the work, and also some (this includes me - mostly because of the project) who weren't. The quality of
371.
by abhgh 11y ago
I wonder how a route suggesting app, that accounts for traffic, avoids the El Farol Bar (lets call it EFB) problem. EFB essentially is people in the town of El Farol want to have a good time, and they the option of staying at home or going
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by abhgh 11y ago
I learnt this as a part of a course I was doing on social networks. This was under the game theory module. Pretty interesting stuff.
373.
by abhgh 11y ago
I just (try to) follow one now - Talking Machines. They have great content on ML, esp contemporary work. Each episode leads to enough followup on the material that I don't have much time to follow another podcast :)
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by abhgh 11y ago
Thats a sweeping statement which, in many contexts, is in error. A given ML algorithm is not effective with any kind of data or problem. Typically you need to understand the domain to pick the right algorithm and/or features and to twe
375.
by abhgh 11y ago
As with most problems that can use Machine Learning (I am assuming this specific subfield of AI since they talk of the website 'adapting') the objective needs to be have a reasonable and realistic scope. The video is too vague&#x2
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by abhgh 11y ago
Yes it is AI. You could quickly go through the Table of Contents in the classic Russell and Norvig "AI: A Modern Approach book" to see what is considered as AI. To be classified as AI, the mode of learning (statistical or not) is
377.
by abhgh 12y ago
Always great to hear a review like this! This is what I felt but I am surrounded by people who have read the book and have loved it.
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by abhgh 12y ago
What I meant was for projects that need to scale, i.e. you can't have humans making decisions, there is no way to avoid this. If your project does not need to scale in this manner, my statement doesn't apply - in fact, I quite agr
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by abhgh 12y ago
You're right, my bad. Should have been more specific. Thank you!
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by abhgh 12y ago
Unfortunately, thats not scalable for a whole bunch of problems. I agree its a headache, but the solution is not to stay away from machine intelligence.
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by abhgh 12y ago
FYI: this was accepted in NIPS-2014
382.
by abhgh 12y ago
This is one tool I am truly grateful for! I work in the industry as a researcher and Scholar is invaluable.
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by abhgh 12y ago
Nomograms were one of my favorite topics during undergrad (engg)!
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by abhgh 12y ago
The math in "a lot of math" and the soup in "souped-up linear classifiers" are really not stuff to be casually swept under the carpet :) They still remain one of the best off-the-shelf learners one can use (look at &quot
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by abhgh 12y ago
With the right basis functions, yes, you would end up approximating the target function well. The problem is how do you determine the right basis functions? In SVMs, for example, there is no one good way to pick the right kernel today. This
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by abhgh 12y ago
Completely agree! I can't finish books in one sitting on my laptop (my eyes get tired quickly), but it is easy on my Kindle paperwhite.
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by abhgh 12y ago
Why? I would be interested to know. My point is that (1) it has its uses (2) there are acrobat features that non-adobe readers don't support.
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by abhgh 12y ago
"there are a bunch of things that are only implemented in Adobe Reader" this is actually accurate (for ex how many know that the reader has a Javascript execution engine integrated into it?) - when people say that there are other
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by abhgh 13y ago
I have a bachelors in mech engg. I eventually moved to software and Walter Bright exactly echoes why: My degree was in mechanical engineering. But mechanical engineering was frustrating because of the large expense involved with building
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by abhgh 13y ago
If you are doing a production grade spellchecker (or for that matter, anything ML) I would suggest that you spend some time getting familiar with the literature survey (Google Scholar is your friend). I have done various implementations ove

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