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.
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.
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.
In my opinion moocs have a long way to go to be comparable to an in person experience. First of all the execution of the pre-recorded lectures is not nearly as good as in person. Writing on the board vs seeing slides and hearing a voice vs seeing someone talk in person is very different. The pacing of the pre-recorded lectures is very mechanical as I'm sure it's tough teaching a camera, whereas in person it is pretty natural. The ability to ask questions in class really helps too. Not meeting with other students/tas/professors in person really has a bad outcome on learning.
It's still possible to try to recommend as close a match as possible. If no matches, then recommend based on actor, director, producer, etc. Currently Netflix just throws in the towel and recommends some completely unrelated content.
I'm in the same boat as you. I started studying advanced machine learning/AI concepts, and understand the intuition just fine, but I feel like i'm grasping around in the dark without a good foundation in statistics. Currently reading this online book and watching lectures: https://www.stat.berkeley.edu/~stark/SticiGui/Text/toc.htm. The material is stated quite simply without advanced math, but it actually helps a lot to understand concepts better.