cosmosa

In Weaknesses of RNN architecture I’ll motivate the need for the transformer architecture. In Transformer architecture I’ll go more in depth into its architecture. Finally, in Experiments and results I’ll show how the transformer performance compares to the RNN performance, and as a sub-research question, how the original encoder-decoder transformer architecture compares to GPT-style decoder-only architecture in Encoder-decoder vs decoder-only

The online degree earned is the same as one in person. However I found the lectures to be much more "staged" online than the free-flowing in person lectures and discussions. So I would argue that the online lectures are of lower quality.

I would be grateful you have a job; most software engineering jobs pay relatively well. Be grateful for this pay.

Find something outside of work that excites you if work doesn't excite you. Work isn't everything. If the actual thing you do at work doesn't excite you, try making friends at work who do excite you.

If writing simple CRUD apps is boring, it sounds like you actually have some aptitude afterall. If it's boring, try to find the sweet spot of challenge with capability. It sounds like you are capable of more than what you are doing now, so gravitate in that direction and move from there.

pycharm -- 'nuff said

Good article. Shows the risks/difficulty in applying machine learning models in the wild. Also shows the more sober side of applying ML models, where a domain expert says "Yeah, I know, I didn't need an ML model to tell me that". ML models will make mistakes based on bias, but hopefully in the long run they will outperform humans.

It's memorized in the same way that natural language syntax is memorized. It's just learned.

This is excellent. I had been wanting to see something like this for a long time. It was difficult for me to imagine the orbit of earth around the sun, and nothing I found showed it well. Thanks for making this!

It is not really optional, it is always printed I think, and just thrown out by the cashier if you say you don't want it. If you do self checkout in my experience it's always printed. I think maybe gas stations are the only place where it asks you if you want a receipt.

What a bunch of odd features.

what is a scissor mechanism?

Sounds interesting but unable to read the full paper

I liked their presentation of the data. Cool interactivity and scrolling transition with notes beside the plots.

I've seen many different formats used.

1. Focus on open ended questions with very little programming

2. Give very difficult algorithm questions 3. Take home assignment

4. Knowledge based questions

5. Brain teasers

By far I think the most useful is take home assignment as it is the most fun, relaxed, and realistic way to measure someone's ability to code.

I don't think algorithm questions are that realistic because usually they are unrealistically difficult.

Mixture of take home and knowledge based questions with maybe some algorithm questions of realistic difficulty is best.