Hey HN!What are some good recommendations to learn distributed microservices? I feel as if I am missing this key skillset from my portfolio and it might be a hindrance whenever I switch jobs. My company does not provide working opportunity in this area for me so looking to learn this externally.Thanks in advance!
The question is focussed towards day to day networking concepts that developers encounter on a daily basis. I find myself at a loss when we discuss concepts like encryption, DNS, LDAP, SSL, setting up digital certificates, etc. I am not sure if some more devs feel that way. Maybe it's because I did not focus during my networking classes in college? I don't know.Note that I am definitely aware...
The question is focussed towards day to day networking concepts that developers encounter on a daily basis. I find myself at a loss when we discuss concepts like encryption, DNS, LDAP, SSL, setting up digital certificates, etc.I am not sure if some more devs feel that way. Maybe it's because I did not focus during my networking classes in college? I don't know.Note that I am definitely aware...
2. Do a course called AnalyticsEdge by MIT folks from edx.org. I can't recommend this course highly enough. It's a gem. You will learn practical stuff like RoC curves, and what not. Note that for a few things you will need to google and read on your own as the course might just give you an overview.
3. Keep the book "Elements of Statistical Learning" by Trevor Hastie handy. You will need to refer this book a lot.
4. There is also a course that Professor Hastie runs but I don't know the link for it. I highly recommend it as it gives a very good grounding on things like GBM, which are used a lot in practical scenarios.
5. Pick up twitter/enron emails/product reviews datasets and do sentiment analysis on it.
6. Pick up a lot of documents on some topic and make a program for automatically producing a summary of those documents - first read some papers on it.
7. Don't do Kaggle. It's something you do when you have considerable expertise with ML/AI.
8. Pick up flights data and do prediction for flight delays. Use different algorithms, compare them.
9. Make a recommendation system to recommend books/music/movies (or all).
10. Make a Neural Network to predict moves in a tic-tac-toe game.
These are a few things that can get you started. This is vast field but once you've done the above in earnest I think you have a good grounding.
Pick a topic that interests you and write a paper on it - it's not such a big deal.
I've been meaning to learn (through hands-on) about designing websites like amazon, etc. So I needed to find a course that taught something like that through exercises (note that I could not find a good book that taught something like this through exercises!). I found MIT OCW's 6.171 (...
Hi, I am practicing for interviews and just had my first pramp interview. It was an awesome experience! But my guess is that pramp is not too popular right now or does not have too many users. Can pramp creators please comment? How many users do you have? I think it's a great service and I'd like to help in any way to attract more users to pramp so that we can have awesome mock interviews...
http://static.googleusercontent.com/media/research.google.co...
http://insight-centre.org/sites/default/files/publications/1...
http://users.cis.fiu.edu/~taoli/pub/p125-li-sigir2011.pdf
http://arxiv.org/pdf/1303.0665v2.pdf
http://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=129...
https://www.ntnu.no/wiki/download/attachments/71733389/WEBIS...
A chapter dedicated to the subject -
Hi, In 2015, I got through the H1-B lottery but during my H1-B interview, the interviewer gave me a 221g slip asking more documents from the petitioner. It has been more than 2 months but the petitioner has not submitted those documents. And as such I want to look for a new employer. Where do I start?Thanking in anticipation!