Also most companies won't give you honest feedback on what you did wrong in the interview, especially w.r.t. soft skills.
Join an interview prep class or mock interview workshop and try to get someone else to identify what you're weak on. It could pay off majorly and help land your dream job.
For me, coding simple games was extremely valuable.
First, you can publish them as apps, which is fantastic for resume building. But also its the best way I've found to practice all the algorithms you'll eventually be asked to implement in coding interviews.
The terminology full-stack is meaningful to discern between an expert at one part of the stack and someone who knows how to set up and manage all parts of the stack. For example, consider the LAMP stack:
Linux
Apache
MySql
PHP
A Full-Stack developer is someone who knows enough Linux to set up an Apache server and MySql database, enough MySql to create a database, enough PHP to render a decent web page.
On the other hand, a frontend developer knows the gritty details about how to render a beautiful and performant webpage that works on IE6, iPhones on 2G and your 4k monitor.
I know it sounds far-fetched, but if someone develops a technology that can rapidly grow a wood-like material out of atmospheric carbon in such a way that entire buildings can be grown in single digit years, we could start seeing countries fighting over who is using too much CO2 and consuming too little
1. Millions of people live their life
2. Academics put people into buckets in order to count them
3. Other academics group that data and label those people
4. Even more other academics come along and do more groupings then write a paper.
5. A newspaper writes an article with a catchy headline and an out-of-context image with arrows drawn on it to call your attention to one correlation but not others, then proceeds to use that data to make arguments that don't actually follow
At every step along the way, a biased researcher or newspaper makes assumptions, discards outliers, and labels individuals in such a way that if we focus on their chosen pivot, we see what they want us to see.
Longitudinal studies, machine learning, and more are all improvements on the current shaky process. I just hope they continue to catch on despite being tougher to do.
This thread really reinforces my respect for Altman and others like him. Of the 1,000 or so comments in this thread, hardly anyone managed to capture this simple, yet profound concept as well as Sam.
If Trump is bad, he's a symptom more than a disease. Shunning Republicans isn't going to change their mind, it's going to drive them to echo chambers like /r/the_donald where they will have their beliefs reinforced, not challenged.
The authors calls out:
[Important note: here we are not using the term “confidence” in the technical sense used in statistics, but rather as an informal term for “subjective probability”.]
But then goes on to use a very technical, statistical version of confidence where 0% confidence is somehow equal to 100% confidence you picked the wrong answer.
All of this leads me to assert that despite the math being internally consistent, it does not apply well to the situation. A rational outside observer without reading such an article would assume that 0% confidence in your answer is equal to a 50% chance of being right.
The phrase "confidence that the answer is 'true'" can easily be interpreted as "confidence that the answer I marked is correct".
I'll pass, but hopefully someone else can do this as a labor of love.