user_235711
Quantum Computers and Weird Aspects of the Sentient AI Problem (Part 1)
Zero 7 Triple Coincidence
The Paradox of Fiction
Fame is Fickle. Money is Impersonal. Art is Where the Awe is
UX Elements That Mess with Your Mind
Base breaks new ground in matter–antimatter comparisons
Improved Approximation Algorithms and Lower Bounds for Search-Diversification
Sci-fi author dethrones Pebble for title of most-funded Kickstarter campaign
The Golden Rule vs. Eye for an Eye
The Adverse Selection of Crypto Regulation
A robot bartender will be on duty at the Winter Olympics
Whether or not we understand everything that the ML systems are doing, we can still observe if events corroborate their predictions, and will be forced to debug or reprogram them if they are not learning well.
Also, I am guessing that many if not most of these ML systems do not start learning from zero, but have some pre-ML naming, sorting, and classification scheme baked into their algorithms. If that is the case, increasing the accuracy of the scheme - refining the concepts of the theory - should only increase the accuracy of the systems' predictions.
Overlooked Originators in Philosophy
Scientists create largest 3D map of the cosmos
Maybe this book will help you to realize you don't really suck at math, you just had some terrible teachers or whatever. It's also a great introduction to many different mathematical subfields so you can see which ones are most interesting/useful to you for future study.
[0] https://www.amazon.com/Mathematical-Ideas-14th-Charles-Mille...
And for humor there's always the startup generator :) http://tiffzhang.com/startup/
Also, this list[0] of common interview questions is a great help. If you have already figured out and practiced your answers to most of these then the interviewer will have less of a chance to catch you off guard with them.
Lastly, write and practice an "elevator pitch"[1] that way "tell me about yourself" or questions like it won't catch you off guard either.
Best of luck getting the job you want! Job hunting and interviewing is very difficult for anyone who is new to it, regardless of their technical skills. I definitely agree with blingojames that interviewing is kind of a subject all its own.
[0] https://www.glassdoor.com/blog/common-interview-questions/
[1] https://www.thebalancecareers.com/elevator-speech-examples-a...
Why the NFT hype will inevitably reach a (painful) normalisation point
Also, I suppose that an indirect benefit of having a blog as an author (whether you monetize it or not) is that it allows potential readers to experience some of your writings, thoughts, and writing style for free.
Guardians of the Tunnel
Lillian Schwartz: Pushing the Medium
Japanese game developer hasn't left the house in 10 years
The Myth of the Holiday Blues (2019)
Self-Publishing Is Not a Last Resort. It Is the Holy Grail
Well, any scientific principle worth anything is worth scrutinizing, since surviving scrutiny and numerous attempts at falsification is the only way such principles can be corroborated.
https://www.goodreads.com/quotes/7434469-a-theory-which-is-n...