"알고리즘"의 두 판 사이의 차이

수학노트
둘러보기로 가기 검색하러 가기
(→‎노트: 새 문단)
 
 
(같은 사용자의 중간 판 하나는 보이지 않습니다)
109번째 줄: 109번째 줄:
 
===소스===
 
===소스===
 
  <references />
 
  <references />
 +
 +
==메타데이터==
 +
===위키데이터===
 +
* ID :  [https://www.wikidata.org/wiki/Q8366 Q8366]
 +
===Spacy 패턴 목록===
 +
* [{'LEMMA': 'algorithm'}]
 +
* [{'LOWER': 'mathematical'}, {'LEMMA': 'algorithm'}]
 +
* [{'LEMMA': 'algorithms'}]

2021년 2월 17일 (수) 01:40 기준 최신판

노트

  • But it reveals something else about the importance and the opacity of the algorithm that drives the identification of Trends.[1]
  • These providers offer complex algorithms to manage, curate, and organize these massive networks.[1]
  • But there is a tension between what we understand these algorithms to be, what we need them to be, and what they in fact are.[1]
  • We do not have a sufficient vocabulary for assessing the intervention of these algorithms.[1]
  • In psychology, one of these problem-solving approaches is known as an algorithm.[2]
  • An algorithm is often expressed in the form of a graph, where a square represents each step.[2]
  • The upside of using an algorithm to solve a problem or make a decision is that yields the best possible answer every time.[2]
  • The downside of using an algorithm to solve the problem is that this process tends to be very time-consuming.[2]
  • There is no algorithm that has all of these properties, and so the choice of sorting algorithm depends on the application.[3]
  • It also lets people tell the algorithm directly what’s important—or not so important, or downright irritating—to them.[4]
  • Facebook used all these answers to update the algorithm with the patterns they extrapolated.[4]
  • According to Facebook, one of the algorithm’s key ranking signals is whether a user has previously engaged with your Page.[4]
  • Recency is another ranking signal that matters as the algorithm selects which posts to show people.[4]
  • Not all procedures can be called an algorithm.[5]
  • There are no well-defined standards for writing algorithms.[5]
  • We write algorithms in a step-by-step manner, but it is not always the case.[5]
  • In design and analysis of algorithms, usually the second method is used to describe an algorithm.[5]
  • Chapter 1: Fundamentals introduces a scientific and engineering basis for comparing algorithms and making predictions.[6]
  • ‘When algorithms start to create new algorithms, it gets farther and farther from human agency,’ says Ellen Ullman.[7]
  • Few subjects are more constantly or fervidly discussed right now than algorithms.[7]
  • At root, an algorithm is a small, simple thing; a rule used to automate the treatment of a piece of data.[7]
  • We no longer accept the sales pitch for this type of algorithm so meekly.[7]
  • Word History: Because of its popularity over the last century, one might figure algorithm for a new coinage.[8]
  • The use of algorithms in policing is one example of their increasing influence on our lives.[9]
  • In the popular imagination, recommendation algorithms have come to dominate our idea of what an algorithm is.[10]
  • “With computers, the algorithm can get vastly more complex,” Domingos said.[10]
  • “Addition is an algorithm that's defined in a few lines of text.[10]
  • A turning point for modern algorithms came when Larry Page and Sergei Brin wrote the Google PageRank algorithm .[10]
  • The next section provides five examples of algorithms to explain the causes and sources of their biases.[11]
  • They also illustrate how these outcomes emerge, and in some cases, without malicious intent by the creators or operators of the algorithm.[11]
  • Roundtable participants focused especially on bias stemming from flaws in the data used to train the algorithms.[11]
  • Conversely, algorithms with too much data, or an over-representation, can skew the decision toward a particular result.[11]
  • An algorithm is a precise step-by-step series of rules that leads to a product or to the solution to a problem.[12]
  • Some steps in an algorithm depend on what happened or was learned in earlier steps.[12]
  • Computers use algorithms, too.[12]
  • Mathematicians and computer scientists designed the algorithms that Google uses.[12]
  • Many companies assume that customers are wary of their algorithms — and they go to great lengths to hide or humanize them.[13]
  • But is it good practice for companies to mask their algorithms in this way?[13]
  • They’re hiring data scientists, mining employee and customer data for insights, and creating algorithms to optimize their recommendations.[13]
  • It seems that the more companies expect users to engage with their product or service, the more they anthropomorphize their algorithms.[13]
  • " " The algorithm is the basic technique used to get the job done.[14]
  • The algorithm is the basic technique used to get the job done.[14]
  • All four of these algorithms accomplish exactly the same goal, but each algorithm does it in completely different way.[14]
  • In computer programming, there are often many different ways -- algorithms -- to accomplish any given task.[14]
  • They are managed not by people but by an algorithm that communicates with them via their smartphones.[15]
  • The algorithm will not tell him the delivery address until he has picked up the food from Carluccio’s.[15]
  • The algorithm compares each courier’s performance to its own estimate of how fast they should have been.[15]
  • once they log on to the app, they only have 10-20 seconds to respond to “trip requests” routed to them by the algorithm.[15]
  • Each step in the algorithm should be clear and unambiguous.[16]
  • An algorithm shouldn't include computer code.[16]
  • Advanced algorithms for getting such standards while eliminating sensors are cornerstone.[17]
  • Here, a new nonlinear hybridization algorithm, which is based on neural networks, to estimate the gravity vector is presented.[17]
  • An algorithm is a specific procedure for solving a well-defined computational problem.[18]
  • An algorithm is set of instructions for solving a problem or accomplishing a task.[19]
  • One common example of an algorithm is a recipe, which consists of specific instructions for preparing a dish/meal.[19]
  • Computer algorithms make life easier by trimming the time it takes to manually do things.[19]
  • In the world of automation, algorithms allow workers to be more proficient and focused.[19]
  • The internet runs on algorithms and all online searching is accomplished through them.[20]
  • Email knows where to go thanks to algorithms.[20]
  • Online dating and book-recommendation and travel websites would not function without algorithms.[20]
  • GPS mapping systems get people from point A to point B via algorithms.[20]
  • To get a feel for the concept of algorithms, think about getting dressed in the morning.[21]
  • Next comes the heart of an algorithm – computation.[21]
  • Finally, the last step of an algorithm is output – expressing the answer.[21]
  • It allows computers to string algorithms together in complex fashions to produce more algorithms.[21]
  • Think about an algorithm for getting dressed in the morning.[22]
  • When you write an algorithm the order of the instructions is very important.[22]
  • In computer science, an algorithm is a set of steps for a computer program to accomplish a task.[23]
  • And finding good algorithms and knowing when to apply them will allow you to write interesting and important programs.[23]
  • They use an optimization and a scheduling algorithm.[23]
  • Those algorithms are more complex than our everyday algorithms like making a grilled cheese sandwich.[23]
  • … sometimes you solve a problem by coming up with an algorithm of some kind.[24]
  • In essence, algorithms are simply a series of instructions that are followed, step by step, to do something useful or solve a problem.[25]
  • In computing, algorithms provide computers with a successive guide to completing actions.[25]
  • Computer algorithms work via input and output.[25]
  • You can easily visualise algorithms as a flowchart.[25]
  • Our control data must be set to check if our algorithm predicts CPC correctly.[26]
  • It’s important to note that keeping your algorithm working with constant tweaks and maintenance is crucial.[26]
  • There will always be context that has an impact on the outcome of the algorithm that was not taken into account in the model.[26]
  • Bringing your algorithm to a place that is robust and permanent is easier said than done.[26]
  • An algorithm is a set of instructions designed to perform a specific task.[27]
  • In computer programming, algorithms are often created as functions.[27]
  • An image editing program may contain algorithms designed to process image data.[27]
  • Therefore, programmers usually seek to create the most efficient algorithms possible.[27]
  • A recipe is a good example of an algorithm because it says what must be done, step by step.[28]
  • Informally, an algorithm can be called a "list of steps".[28]
  • In computing, an algorithm is a precise list of operations that could be done by a Turing machine.[28]
  • The thing that measures the difficulty of an algorithm is called complexity.[28]
  • That’s really all that algorithms are mathematical instructions.[29]
  • Whether you are aware of it or not, algorithms are becoming a ubiquitous part of our lives.[29]
  • Klint Finley reports, “Today’s internet is ruled by algorithms.[29]
  • Clearly, however, people with both good and bad intentions have used algorithms.[29]
  • A computer program can be viewed as an elaborate algorithm.[30]
  • An encryption algorithm transforms data according to specified actions to protect it.[30]
  • This algorithm used the one-dimensional central section of the filter.[31]
  • So, permitted deceleration of the mobile robot is restricted by the proposed algorithm.[31]
  • The upshot of this is that adaptation to nonstationarity does not require qualitative changes in a learning algorithm.[31]
  • However, the error is quick to decrease and enter the range of error of the other algorithms.[31]
  • But here’s the absolute simplest definition: An algorithm is a set of guidelines that describe how to perform a task.[32]
  • As Domingos goes on to explain, algorithms are reducible to three logical operations: AND, OR, and NOT.[32]
  • It’s this that frightens some people, since it makes algorithms sound like they’re alive, possibly even sentient.[32]
  • In fact, the most promising—and most troubling!—property of some algorithms may be their ability to decide what we see and how we see it.[32]
  • The concept of algorithm has existed since antiquity.[33]
  • Thus, an algorithm can be considered to be any sequence of operations that can be simulated by a Turing-complete system.[33]
  • The informal definitions of algorithms generally require that the algorithm always terminates.[33]
  • Stored data are regarded as part of the internal state of the entity performing the algorithm.[33]

소스

  1. ↑ 1.0 1.1 1.2 1.3 Limn Can an Algorithm be Wrong?
  2. ↑ 2.0 2.1 2.2 2.3 The Algorithm Problem Solving Approach in Psychology
  3. ↑ Sorting Algorithms Animations
  4. ↑ 4.0 4.1 4.2 4.3 How the Facebook Algorithm Works in 2020 and How to Work With It
  5. ↑ 5.0 5.1 5.2 5.3 Algorithms Basics
  6. ↑ Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne
  7. ↑ 7.0 7.1 7.2 7.3 Franken-algorithms: the deadly consequences of unpredictable code
  8. ↑ algorithm
  9. ↑ Wiktionary
  10. ↑ 10.0 10.1 10.2 10.3 What is an algorithm, anyway?
  11. ↑ 11.0 11.1 11.2 11.3 Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms
  12. ↑ 12.0 12.1 12.2 12.3 Explainer: What is an algorithm?
  13. ↑ 13.0 13.1 13.2 13.3 Do People Trust Algorithms More Than Companies Realize?
  14. ↑ 14.0 14.1 14.2 14.3 What is a computer algorithm?
  15. ↑ 15.0 15.1 15.2 15.3 When your boss is an algorithm
  16. ↑ 16.0 16.1 What is an Algorithm?
  17. ↑ 17.0 17.1 Algorithms
  18. ↑ Algorithm | mathematics
  19. ↑ 19.0 19.1 19.2 19.3 Algorithm Definition
  20. ↑ 20.0 20.1 20.2 20.3 Experts on the Pros and Cons of Algorithms
  21. ↑ 21.0 21.1 21.2 21.3 What is an algorithm? How computers know what to do with data
  22. ↑ 22.0 22.1 What is an algorithm?
  23. ↑ 23.0 23.1 23.2 23.3 What is an algorithm and why should you care? (video)
  24. ↑ Definition of Algorithm by Merriam-Webster
  25. ↑ 25.0 25.1 25.2 25.3 What is an algorithm? An ‘in a nutshell’ explanation
  26. ↑ 26.0 26.1 26.2 26.3 How to build an algorithm in 6 steps
  27. ↑ 27.0 27.1 27.2 27.3 Algorithm Definition
  28. ↑ 28.0 28.1 28.2 28.3 Simple English Wikipedia, the free encyclopedia
  29. ↑ 29.0 29.1 29.2 29.3 Artificial Intelligence: How Algorithms Make Systems Smart
  30. ↑ 30.0 30.1 Definition from WhatIs.com
  31. ↑ 31.0 31.1 31.2 31.3 meaning in the Cambridge English Dictionary
  32. ↑ 32.0 32.1 32.2 32.3 What is an algorithm? An explainer.
  33. ↑ 33.0 33.1 33.2 33.3 Algorithm

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LEMMA': 'algorithm'}]
  • [{'LOWER': 'mathematical'}, {'LEMMA': 'algorithm'}]
  • [{'LEMMA': 'algorithms'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=알고리즘&oldid=51482"