tomdre

Any recommendation for fishing around the Bay Area? I read that the water's quality of nearby lakes and rivers is pretty low.

One of my dreams is to do something similar by simplifying neural nets via (bi)simulation (something along the lines of quotient automata).

Never had the chance of studying it. I'll give it a closer look. Thanks.

"Introduction to Algorithms" by Cormen et al. is one of my favorite books. It gave me a deep understanding of algorithms and data structures.

My recommendations:

Cafes: Caffe Trieste (North Beach)

Restaurants: The Ramp (Dogpatch), Sunday morning brunch at Thai Temple (Berkeley), Fish (Sausalito)

Sights: Twin Peaks, Coit Tower, Berkeley hills (Grizzly peak)

Weird shit: The Saloon (North Beach), Ruby Room (Oakland), parties at 20 Mission (Mission), Li Po Cocktail Lounge (Chinatown)

This is not a really strong argument against self-driving cars. The fact that a problem is NP-hard doesn't make it untractable. Every day we use apps that deal with NP problems (e.g., routing problems, packing problems, etc.). Also, note that there're P problems whose instances can be harder than (smaller) NP ones.

My steps for learning French and Spanish were: 1) 1/2 months nonstop on Duolingo 2) Cartoons/books for kids 3) Spending free time with French/Spanish speakers (gotta mention that I was lucky because my native language is romance and I lived in both France and Equador)

"The Art of Computer Programming" by D. Knuth taught me the beauty of well designed algorithms. "The Art of Prolog" by E. Shapiro opened my mind to new programming paradigms.

Jaron Lanier's "You Are Not a Gadget" has some nice thought about this point, claiming that the web in the 90s was a way more creative and personal space than today.

Couldn't agree more. A technique should be judged by its usefulness. Not by its catchiness.

Off topic. Yann LeCun really looks like Michael Moore who looks like Peter Griffin.