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I'm a former IT-student and would like to start as a web-designer. because I'm still a student and want to focus on my study I don't want to work full time but part time.
does anyone know what's the best way is to do this. shoeld I start for my own or shoeld is apply for a job?
This question may not be what stackoverflow is supposed to be used for but I'll just give you some quick hints. Just like you I'm a young (19-year-old) student, currently studying Software Engineering (IT) at the Amsterdam University of Applied Sciences. I'm currently doing an internship (3rd year) and am working at a webdevelopment company. Look for Online Marketing companies near your home, send e-mails to them, just look around. Here in the Netherlands there are plenty of opportunities for you to start and grow. All you need is some base knowledge and something to show off (Even a small portfolio will help!). Put some time and effort into finding a part-time job.
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I've just started reading How to Design Programs (2nd edition) on htdp.org
There are several notes in this book mentioned next volume called How to Design Components (e.g. the 3rd note in part one), however, I just can't google anything about the 2nd volume book.
I'm wondering why it is so hard to find any information about the latter volume. Has it finished? If it has not finished yet, how can I get information about the book?
The first author provides more information on his website:
We have decided to provide the draft of "How to Design Classes" (pdf)
on an "as is" basis for now. You are free to download and print it.
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Do anybody know about a github repo with a full well organized data science project? Preferable in Python. My hobby project often get mezzy with a mix of Python code and notesbook. A worked out project is the best way to learn some new tricks.
Data Science is regarded a bit differently by different people, so you might consider focusing on what exactly you wish to learn.
But, take a look at those:
https://github.com/bulutyazilim/awesome-datascience
https://www.kaggle.com/
The first one contains lots of relevant sources of information. The second is originally a competition site with varied different problems in ML, but also contains past competitions (and datasets). They added a cool feature called "kernels" which are just code files people publish and you could learn from those.
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I am building a path for beginners (like me) to guide them through the learning of data analysis in R (Only in R please).
Would you suggest me any new sections and/or new courses that i should add?
Heres is what i have been adding till now: http://studiy.co/path/data-analysis/
Thanks for the help!
well you need to distinguish... If you want just to learn R programming you may check Coursera course on R
https://www.coursera.org/learn/r-programming
that would give you some basics. If you need to learn how to analyse data then you may need a bit more. What are your background in mathematics? What kind of statistics know-how do you have? A GREAT resource in my opinion is the book
An Introduction to Statistical Learning with applications in R
That you can even find for free in pdf (http://www-bcf.usc.edu/~gareth/ISL/). Beware that you may need some mathematics background to be able to understand it fully. In case you have a more profound background in science I may have other suggestions. Could you tell us at what level are you?
Hope that helps.
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I have been trying to find a program that can extract information from unstructured text(news articles, books, etc).
My eventual goal is to create a program that can take regular sentences and cache it in a database much like google does but without all its duplicate information.
lets take the NLTK example: "At eight o'clock on Thursday morning Arthur didn't feel very good."
the things that i would want extracted would be:
time: 8:00pm
date: thursday
person: Arthur
action: didn't feel good
is there a program that can do this?
i have tried using NLTK but i cant seem to find any good way to accomplish extracting the information.
This problem is called Fine grained entity recognition. No, There are no tools (except for research works) that can add such semantics.
To start with, you can recognise Person and Time with appropriate models using Entity Recogniser.
You can recognise the actions from sentence parsing as suggested by #Junuxx.
Also give Wikify a try.
Thank you.
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Is there a free source with basic yellow pages data(name,address, phone#)? I don't mind if its out of date. I couldn't find anything with google. To clarify I'm looking for a data dump, I know I can just go to yellow pages.com or whatever for regular queries. As a last resort I'll probably scrape it.
This sort of data tends to be very expensive, so you're unlikely to find anyone offering a free directory. If they are it will probably be horribly out of date or have many duplicates.
In my previous job the company was looking at business directories - the main stumbling block was the cost of good, clean data.
Yeah, I'd recommend something like Yellabot.com and get the GOLD version if you can and automate scraping the data. I don't know of anywhere that is going to give that data out for free but if you're willing to pay for it, I'm sure there are companies that would sell the whole shebang for 10's of 1000's of dollars. If you do find it though, let me know, lol.