Fun Stuff

A few insignificant thoughts and stolen ideas for the idle website surfer

Quotes

In the end, the real representation learned was the friends we fine-tuned along the way. J.A

Pertinence Barbillon a été primesque comme tous les jeudis I.S. à propos de P.B. (taken from Louis’s Home Page)

À ce sujet, je sais comment démontrer les deux : que ça marche et que ça ne marche pas. V.G.

AI Goodfathers Facts

A compilation of my favorites taken from Reddit blogs and from Yann Lecun’s Home Page

Miscellaneus

It is traditional for the author to magnanimously accept the blame for whatever deficiencies remain. I don’t. Any errors, deficiencies, or problems in this book are somebody else’s fault, but I would appreciate knowing about them so as to determine who is to blame.

Steven S. Skiena, The Algorithm Design Manual (1997)

An algorithm is an explicit, precise, unambiguous, mechanically-executable sequence of elementary instructions, usually intended to accomplish a specific purpose. For example, here is an algorithm for singing that annoying song “99 Bottles of Beer on the Wall”, for arbitrary values of 99:

BottlesOfBeer(n):
    For i ← n down to 1
        SING "i bottles of beer on the wall, {i} bottles of beer,"
        SING “Take one down, pass it around, {i - 1} bottles of beer on the wall."
    SING "No bottles of beer on the wall, no bottles of beer,”
    SING "Go to the store, buy some more, {n} bottles of beer on the wall."

Jeff Erickson, Algorithms (2019)

What’s the different between Machine learning and AI?

If it’s written in Python, then it’s probably Machine Learning.

If it’s written in PowerPoint, then it’s probably AI.

iBug on the Data Science Stack Exchange blog.