Quotes of All Topics . Occasions . Authors
An algorithm is like a recipe.
An algorithm must be seen to be believed.
A formal parsing algorithm should not always be used.
We dont have better algorithms, we just have more data
Humans are very good at making algorithms work eventually.
Algorithms don't do a good job of detecting their own flaws.
Fancy algorithms are slow when N is small, and N is usually small.
More data beats clever algorithms, but better data beats more data.
I really wanted to talk to her. I just couldn't find an algorithm that fit.
The algorithms that orchestrate our ads are starting to orchestrate our lives.
I design genetic algorithms, neural network and artificial intelligence systems.
You cannot invent an algorithm that is as good at recommending books as a good bookseller.
People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance.
Mathematics my foot! Algorithms are mathematics too, and often more interesting and definitely more useful.
My style is basically trend following, with some special pattern recognition and money management algorithms.
[With AI] Somebody's going to have to think of a completely new algorithm, a new way of doing goal-based planning.
Anyone, from the most clueless amateur to the best cryptographer, can create an algorithm that he himself can't break.
The problem with digital architecture is that an algorithm can produce endless variations, so an architect has many choices.
Bitcoin is not “unregulated”. It is regulated by algorithm instead of being regulated by government bureaucracies. Un-corrupted.
Nature doesn't feel compelled to stick to a mathematically precise algorithm; in fact, nature probably can't stick to an algorithm.
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.
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.
[The Euclidean algorithm is] the granddaddy of all algorithms, because it is the oldest nontrivial algorithm that has survived to the present day.
If you’re concerned about scalability, any algorithm that forces you to run agreement will eventually become your bottleneck. Take that as a given.
It is cheaper to pay mathematicians and computer scientists to design algorithms that will eliminate webspamming, rather than to pay lawyers to do lawsuits.
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.
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.
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.
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.
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.
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.
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.
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.
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.
In deep learning, the algorithms we use now are versions of the algorithms we were developing in the 1980s, the 1990s. People were very optimistic about them, but it turns out they didn't work too well.
There's a belief that whatever it is I'm looking for is out there, but I have a really difficult time finding it. Search algorithms alone are falling short in being able to provide real context around information.
No one knows what the right algorithm is, but it gives us hope that if we can discover some crude approximation of whatever this algorithm is and implement it on a computer, that can help us make a lot of progress.
You cannot invent an algorithm that is as good at recommending books as a good bookseller, and that's the secret weapon of the bookstore - is that no algorithm will ever understand readers the way that other readers can understand readers.
The single greatest business opportunity that is now emerging in the global marketplace is the ability to analyze digital log data to trace digital actions and from those traces to develop algorithms that can predict future outcomes with greater accuracy.
Nothing will ever replace the experience of wandering haphazardly through a great bookstore, no matter how many algorithms are developed to find matches for our tastes. That's because not only is there no accounting for taste, there is no predicting it either.
A metaphysical tour de force of untethered meaning and involuting interlocking contrapuntal rhythms, 'The Clock' is more than a movie or even a work of art. It is so strange and other-ish that it becomes a stream-of-consciousness algorithm unto itself - something almost inhuman.
The Arab world is also the world that produced some of the greatest improvements in mathematics and in science. Even today, when a Princeton mathematician does an algorithm, he may not remember that "algorithm" derived from the name al-Khwarizmi, who is a ninth-century Arab mathematician.
Object-oriented programming aficionados think that everything is an object.... this [isn't] so. There are things that are objects. Things that have state and change their state are objects. And then there are things that are not objects. A binary search is not an object. It is an algorithm
Netflix will know everything. Netflix will know when a person stops watching it. They have all of their algorithms and will know that this person watched five minutes of a show and then stopped. They can tell by the behavior and the time of day that they are going to come back to it, based on their history.
I did once leave one of [my kid] watching something on YouTube, something completely innocuous, and I went out of the room and the algorithm kept playing the next thing and the next thing and somehow worked its way around to showing him the trailer for John Carpenter's The Thing - at which point I walked back in. He wasn't happy.
The classes of problems which are respectively known and not known to have good algorithms are of great theoretical interest. [...] I conjecture that there is no good algorithm for the traveling salesman problem. My reasons are the same as for any mathematical conjecture: (1) It is a legitimate mathematical possibility, and (2) I do not know.
The best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.