Quotes About Algorithm

If you game Facebook and Google in the right way, then you can achieve a mass audience.

We're training Google Street View to recognize street numbers.

'Programming' is a four-letter word.

The word deepfake has become a generic noun for the use of machine-learning algorithms and facial-mapping technology to digitally manipulate people's voices, bodies and faces. And the technology is increasingly so realistic that the deepfakes are almost impossible to detect.

And I'm also really, really into the algorithms. Hashtags, shout-outs, geotagging, getting tagged on bigger accounts and on the Instagram Explore page—it's all about climbing a ladder and getting yourself noticed.

Hal (for Heuristically programmed ALgorithmic computer, no less) was a masterwork of the third computer breakthrough.

quantum cryptography is a system that ensures the security of a message by making it hard for Eve to read accurately a communication between Alice and Bob. Furthermore, if Eve tries to eavesdrop then Alice and Bob will be able to detect her presence. Quantum cryptography therefore allows Alice and Bob to exchange and agree upon a onetime pad in complete privacy, and thereafter they can use this as a key to encrypt a message.

Figure 6 The science of secret writing and its main branches.

significance of the key, as opposed to the algorithm, is an enduring principle of cryptography. It was definitively stated in 1883 by the Dutch linguist Auguste Kerckhoffs von Nieuwenhof in his book La Cryptographie militaire: "Kerckhoffs' Principle: The security of a cryptosystem must not depend on keeping secret the crypto-algorithm. The security depends only on keeping secret the key.

The central idea is that you can represent reality using a mathematical function that the algorithm doesn't know in advance but can guess after having seen some data. You can express reality and all its challenging complexity in terms of unknown mathematical functions that machine learning algorithms find and make advantageous. This concept is the core idea for all kinds of machine learning algorithms.

leaving to the algorithm to determine the data patterns on its own. This type of algorithm tends to restructure the data into something else, such as new features that may represent a class or a new series of uncorrelated values.

accompany an example with positive or negative feedback according to the solution the algorithm proposes. Reinforcement learning is connected to applications for which the algorithm must make decisions (so the product is prescriptive, not just descriptive, as in unsupervised learning), and the decisions bear consequences. In the human world, it is just like learning by trial and error.

A system of logical instructions that an automaton can carry out and which causes the automaton to perform some organized task is called a code.

The computer is no better than its program.

In some ways, chocolate chip cookie recipes are my favorite algorithms. You put a bunch of bad-for-you stuff in a bowl and get a delicious result.

The higher a book's sales ranks, the better chances it has of being noticed by Amazon's internal recommendations engine.

It's quite complicated and sounds circular, but we've worked out a way of calculate a Web site's importance.

Computer science inverts the normal. In normal science, you're given a world, and your job is to find out the rules. In computer science, you give the computer the rules, and it creates the world.

If an acquisition can speed a process or fill a gap, we'll jump right to that. It's about timing, need... it's not necessarily an algorithm.

When I was working on my Ph.D., I developed a computer algorithm to look for rapid changes in populations' DNA. Our DNA changes constantly over generations, but if certain changes spread through a population more quickly than others, they are probably the beneficial results of natural selection. This is the protection we give ourselves to survive.

A good computer program consistently and automatically gives each factor its appropriate weight.

These operations move memory around, perform some sort of basic math, or interrupt the processor to get it to do something else. In the end, that's all a computer processor can really do. But in the same way millions of books have been written using a relatively small alphabet of letters, an infinite number of possible programs can be created using a relatively small collection of machine instructions.

Our unique algorithm is able to grade each person and it chooses which developer works on what.

Similarly, the HealthMap algorithm, which scours tens of thousands of social networks and news media, was capable of predicting the 2014 Ebola outbreak in West Africa nine days before the World Health Organization.21b