dickler
Increasing housing supply in silicon valley and subsidizing moving are the cure
If you don't have programming skills you're better of off just starting a subreddit. The hard part in these is building the community.
A better strategy might be to find a subreddit with a community and try to take over it somehow (communicate with mods or pay them to take over).
- automate your industrial/biomedical robot/inspection systems,
- automate your video surveillance systems,
- automate your agricultural/security/entertainment drones.
Data Scientist - SQL, python, nlp, computer vision, machine learning.
My main skill/passions/value add - feature engineering of data to increase predictive accuracy - deriving explanations of data with frequent itemset mining - managing of complex data (many tables joined for purpose of deriving new features)
also do -
android devlopment (in kivy python-for-android)
web full stack (in pyjamas, webpy, appengine, sql)
Linkedin (resume) http://ca.linkedin.com/pub/umar-nawaz/85/668/55
Kaggle profile http://www.kaggle.com/users/48955/umar-nawaz
Blog http://recommender-system-adventures.blogspot.ca/
Github https://github.com/umarnawaz (current) http://github.com/haskellpostgresprogrammer (old)
I've got no job experience and no college education so it's an uphill struggle. I'm trying to innovate with the resume to overcome that (I can code/write etc, but don't have the standard papers/references).
Show HN: My unique approach to my resume
and vowpal wabbit https://github.com/JohnLangford/vowpal_wabbit/wiki
Python, Javascript (Jquery, Angular, D3),
SQL, NoSQL, App Engine, Scaling past SQL
Vector space models, NLP, search engines
Currently working on built-in crowdsourced/crowdfunded data science competition platform
Python, Javscript (Jquery, Angular, D3), SQL, NoSQL, App Engine, Scaling past SQL Vector space models, NLP, search engines
Currently work on crowdsourced/crowdfunded data science competition platform
Eastern cultures (india/china etc) have a relative advantage now, precisely because of their culture. Think of all the lost productivity from emotional hardships from most men in their 20s and lots of women in their 30s in western countries.
- compiled code, fast
- cleaner, nicer, conciser syntax
- type safety built in
- pattern matching
- numpy equivalents are now available
- purity (see John Carmack talking about how it helps when codebases get large)
To switch from python to haskell easily within minutes, realize that a python function is simply do notation in haskell. So replace assignment (=) with arrow (<-) and write with "func v1 v2 = do".
Then pure functions are those without do and no assignment written lisp/scheme style. "$" means you can get rid of the parentheses.
After that, declaring types is equivalent to expressing how syntax tree can be written. You can use these to plan out how you attack your problem and then let compiler help you when writing out your functions. You could even just write out types and outsource the function writing to someone else (similar to your oo architects can parcel out code writing).
So, all python, golang, and ruby programmers - you really should check out haskell and realize it's superiority. They've taken your niche.
(If anyone wants to pay me to code in haskell, send me an email at [email protected], looking for telecommute work)