Algorithms Quotes

Algorithms Quote of the day

An algorithm must be seen to be believed.

Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.

My style is basically trend following, with some special pattern recognition and money management algorithms.

By 2025, 80 percent of the functions doctors do will be done much better and much more cheaply by machines and machine learned algorithms.

Anyone, from the most clueless amateur to the best cryptographer, can create an algorithm that he himself can't break.

Mathematics is as much an aspect of culture as it is a collection of algorithms.

Mathematics my foot! Algorithms are mathematics too, and often more interesting and definitely more useful.

In fact, there was general agreement that minds can exist on nonbiological substrates and that algorithms are of central importance to the existence of minds.

I have a simple algorithm, which is, wherever you see paid researchers instead of grad students, that's not where you want to be doing research.

Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.

More data beats clever algorithms, but better data beats more data.

Fancy algorithms are slow when N is small, and N is usually small.

It is cheaper to pay mathematicians and computer scientists to design algorithms that will eliminate webspamming, rather than to pay lawyers to do lawsuits.

The emphasis on mathematical methods seems to be shifted more towards combinatorics and set theory - and away from the algorithm of differential equations which dominates mathematical physics.

If you’re concerned about scalability, any algorithm that forces you to run agreement will eventually become your bottleneck. Take that as a given.

There is no Algorithm for Humor

We dont have better algorithms, we just have more data

Love was not specified in the design of your brain; it is merely an endearing algorithm that freeloads on the leftover processing cycles.

It took me 1057 pages to describe the hundreds of mathematical equations, algorithms and programming techniques that I invented and used.

An algorithm is like a recipe.

People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance.

Good SEO work only gets better over time. It's only search engine tricks that need to keep changing when the ranking algorithms change.

I really wanted to talk to her. I just couldn't find an algorithm that fit.

Humans are very good at making algorithms work eventually.

You cannot invent an algorithm that is as good at recommending books as a good bookseller.

Lead generation excels when a campaign is looking to capture a piece of factual intelligence that could never be modelled or predicted through profiling and sophisticated propensity algorithms.

[The Euclidean algorithm is] the granddaddy of all algorithms, because it is the oldest nontrivial algorithm that has survived to the present day.

Algorithms don't do a good job of detecting their own flaws.

The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials.

I would argue that one of the major problems with our blind trust in algorithms is that we can propagate discriminatory patterns without acknowledging any kind of intent.

The most important goal I had in mind was to convince people to stop blindly trusting algorithms and assuming that they are inherently fair and objective.

I know how models are built, because I build them myself, so I know that I'm embedding my values into every single algorithm I create and I am projecting my agenda onto those algorithms.

[With AI] Somebody's going to have to think of a completely new algorithm, a new way of doing goal-based planning.

A formal parsing algorithm should not always be used.

I remember that mathematicians were telling me in the 1960s that they would recognize computer science as a mature discipline when it had 1,000 deep algorithms. I think we've probably reached 500.

My particular focus at the moment is on the development of genetic algorithms and neural networks that work together to create computer architectural systems.

I design genetic algorithms, neural network and artificial intelligence systems.

You invent things like algorithms to take care of some of the changes you want to make. The changes aren't detectable. There's all kinds of things happening as I play.

In popular books and articles, information technology writer Carr has worried over the ways that algorithms like those employed by Google are reshaping the ways we think.

Computing should be taught as a rigorous - but fun - discipline covering topics like programming, database structures, and algorithms. That doesn't have to be boring.

In algorithms, as in life, persistence usually pays off.

Maths is at only one remove from magic.