But… there is no S in MCP
HN user
random42
How do you define a unit of work for your purposes?
It’s not a proxy war. Not every world event is about the US.
Source: I am an Indian.
1. Generate a story.
2. Make it available for all (major) languages.
3. Profit!
Also, integrate with captcha + rate limit to prevent abuse. Authentication alone is not strong enough deterrent to a motivated adversary.
They are not "ripping" off other's work. The animations are created by the OP. There is nothing wrong in getting inspired by great ideas.
lol, Do you believe every idea you have is entirely original? Also, whats with the hell speak? grow up.
It’s such a hateful and mean comment. OP, please ignore this.
If you want to spend time building your own library, like OP has , and release it , god speed — that is if you can. In the meanwhile, OP actually spent energy to build and launch something, which is commendable.
I am currently at the same place, with no reasonable place out. How did you solve it?
You mean "posterity", not "prosperity" :)
Making high performance teams is part of their job description though, and there is research to indicate that teams with strong social bonds perform better.
Oh wow! this is _exactly_ I was looking for (and still am) a couple of days ago. Please let us know once its ready.
Get a job where you are being paid to obsess over software architecture.
Great job shipping. The README / repo however could definitely benefit with a benchmarking report in them.
What kind of red flags?
SEEKING WORK - Remote Django/Python developer
(Major) Skills: Python, ML/NLP/Analytics, Hadoop, Cassandra, Postgres/MySQL, EC2, S3, Django, Bootstrap, jQuery
I specialize in, Backend/Python development — POCs, rapid prototypes, load/performance testing etc.
Server side/DB performance optimizations & design to scale.
Big Data consulting — Hadoop Ecosystem + Cassandra. Have evaluated Mongo, Couchbase, Riak, DynamoDB, EMR and redshift as well for client requirements.
Devops on Linux servers/EC2
NLP/ML/Data Science Consulting — Sentiment Analysis, NER, Classification,Clustering,Statistical modelling
Find out more at
Linkedin: http://www.linkedin.com/in/mohitrankaGithub: http://www.github.com/mohitranka
Portfolio: http://mohitranka.com/work/
or
Email: mohitranka@gmail.com :)
funny?
this is Microsoft porting their LinkedIn service from whatever servers came along with LinkedIn, to their own servers
Nope, LinkedIn executes completely independently.
I left my job in July, and took a bit of break to introspect, focus on my health, spend time taking care of my family members, did a few investments, read up a lot and figuring out what I want to do next.
I have just started to talk to people wrt to different jobs, although I am not sure I want to take up another job. will figure it out in due time.
Such an odd 'I told you so' comment in a thread about thousands losing their livelihood.
No need to get nasty.
You don't know him at all, apart from a short anecdotal incident, where even OP does not portray him in a bad light.
That can't be right though.
Unsolicited advice, but please don't have this mindset towards system failure. More things go wrong than you anticipate.
"fix"
Fair enough. In reality though, its a poor strategy to not volunteer information, if you are looking for a job. It just creates another obstacle.
That is a weird response.
Why can't you post your CV in the 'public domain'? Also, no employer is going to 'hold on to your CV' while you upskill.
He is playing for enjoyment and recreation. Playing and losing to Steph Curry does not give him that. Playing competitively with his friends does it.
science is about quantitative measurement
Hard sciences may be, but there are quite a soft science domains such as psychology. We do not yet know exact nature of addiction, but psychological, environmental impacts have not been ruled out, by most scientists.
Calibration is a meeting to discuss the gathered signals and evidences to arrive at a decision.
People are allowed and encouraged to change their individual decision after getting more insights and evidences gathered by other interviewers.
did your company do predictivity and bias analysis on it?
Recruitment, HR and leadership conducts it to tweak the process, but I am not privy to those studies.
You seem to have made some (incorrect) assumptions based on very little text. Let me explain the process in somewhat more detail.
In my last company ($100B, publicly traded, extremely data driven), we interview candidates in a group of 2 (or more, but rarely) on clearly defined criteria to look for signals - in either direction.
During interview each of the interviewer looks for evidence to gather the signal - stronger the better and the purpose of the interview process is for all the interviewers to gather signals (preferably all criteria, preferably strong in either direction, but ofcourse bound by the realities of limited availability of time).
Once the interview process is over each interviewer jots down the signal strength and the related evidence on the scorecard independently and suggests the result of interview.
Later during a calibration, the signals and the evidences are presented to the interviewing peer group (recruiter, hiring managers, interviewers from other rounds), and pretty much disallows for any unconscious bias such as "I don't think Alice would be a good team lead (because she is a woman, and woman are not good managers), or "We should not hire Amit (because he is an Indian, and Indians write poor code").
Again the examples are too in-your-face, but unconscious bias is unconscious, and in the absence of having to defend your perspective to external parties with the support of evidences, which does not happen if there is only a single interviewer.
Think of it as the rubber duck for interview and biases, to keep your own unconscious bias as interviewer in check.
A huge part of it is resulting discussion that happens between different observers which puts the onus to check for biases and map the signals on objective parameters.
They want to avoid the unconscious bias of a single mind, and non decision due to conflicting opinions of even number of interviewers.
I cannot seem to find it on the jobs page. Do you have a link to it?