(Stay tuned, I keep updating this post while I plow in my deep learning garden:))
(If you do not know the differences and relations among AI, machine learning, and deep learning, I suggest you read my post at here.)
Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.
— Mark Cuban
source: https://quotecatalog.com/quote/mark-cuban-artificial-inte-x1mzEG7 Upfront Summit 2017 (pdf)
There are definitely some academic statisticians who just don’t understand why what I do is statistics, but basically I think they are all wrong. What I do is fundamentally statistics. The fact that data science exists as a field is a colossal failure of statistics. To me, that is what statistics is all about. It is gaining insight from data using modelling and visualization. Data munging and manipulation is hard and statistics has just said that’s not our domain. -- Hadley Wickham source: Hadley Wickham, the Man Who Revolutionized R (Jul 24, 2015) -- pdf
[M]achines of this character can behave in a very complicated manner when the number of units is large. Alan Turing (1948) “Intelligent Machines”, page 6
Simple models and a lot of data trump more elaborate models based on less data. Peter Norvig
More data beats clever algorithms, but better data beats more data. Peter Norvig
No programming language is perfect. There is not even a single best language; there are only languages well suited or perhaps poorly suited for particular purposes. Understanding the problem and associated programming requirements is necessary for choosing the language best suited for the solution.
--Herbert Mayer
Source: Mayer, Herbert (1989). Advanced C programming on the IBM PC. Windcrest Books. p. xii (preface).
(See here for some quotes about data analysis.)
