When I was doing my applied math PhD, the vast majority of people in my discipline used either “machine learning”, “statistical learning”, “deep learning”, but almost never “AI” (at least not in a paper or a conference). Once I finished my PhD and took on my first quant job at a bank, management insisted that I should use the word AI more in my communications. I make a neural network that simply interpolates between prices? That’s AI.
The point is that top management and shareholders don’t want the accurate terminology, they want to hear that you’re implementing AI and that the company is investing in it, because that’s what pumps the company’s stock as long as we’re in the current AI bubble.
MobileTechReview (www.youtube.com/ ), Lisa’s reviews feel the most authentic to me without too much bullshit and they always helped me with my buying decisions.
I already got functional laptops (an Alienware M15 r3 and a very recent HP Pavilion) but none of them come close to my Thinkpad T480 in terms of comfort of use, the overall build quality and the damn awesome keyboard.
Too bad that all (?) recent Thinkpads now have soldered RAM.
Loops and recursion or just thinking iteratively in general. If you get this, then mathematical induction gets much more intuitive if you’re studying math.
But you also have to adjust for the fact that the calculation itself is going to take a few seconds, and you’d then have to adjust for the time it takes to do the adjustment and you probably end up with an implicit numerical scheme you have to solve
I tried a few years ago to be smarter about it and instead of bookmarking I’d schedule-send myself an email with the link to the article to force myself to read it when I have time. It worked for a while until it didn’t and my email box is now littered with hundreds of “[MUST READ]” unread emails 👀
They’re free unless you want a “certificate”, which has no practical value and is mostly useful if you want to motivate yourself a bit more and want to support their business model.
Go browse Coursera and edX and learn to your heart’s content.
Also, if you’re coding, watch recordings of conferences about your programming language, e.g. CppCon/C++Now/CppNorth for C++, PyCon/PyData for Python etc…