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Machine learning algorithm | Article about Machine ...

machine learning[mə′shēn ‚lərn·iŋ] (computer science) The process or technique by which a device modifies its own behavior as the result of its past experience and performance. machine learning The ability of a machine to improve its performance based on previous results. Neural networks are one kind of machine learning. machine ...

Machine learning - Encyclopedia of Mathematics

Machine learning is concerned with modifying the knowledge representation structures (or knowledge base) underlying a computer program such that its problem-solving capability improves (for surveys, cf. [a6], [a2]). More specifically, a program is said to learn from experience with respect to some ...

Machine learning - encyclopedia article - Citizendium

Machine learning methods automatically learn statistical regularities in a training data set to make accurate predictions about new data. Two definitions are: "Any change in a system that allows it to perform better the second time on repetition of the same task or .

Encyclopedia of the Sciences of Learning | Norbert M. Seel ...

The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will ...

Machine Learning in Policy Evaluation: New Tools for ...

While machine learning (ML) methods have received a lot of attention in recent years, these methods are primarily for prediction. Empirical researchers conducting policy evaluations are, on the other hand, preoccupied with causal problems, trying to answer counterfactual questions: what would have happened in the absence of a policy? Because these counterfactuals can never be directly observed ...

Machine Learning (Encyclopedia of Industrial and ...

Machine Learning Machine learning is a field overlapping with statistics and computer science and strongly associated with big data. One important point, however, is that machine learning techniques often provide their largest advantages in medium-sized data sets (say, a few hundred to a few thousand cases); in truly large data sets, different techniques converge.

Encyclopedia of Machine Learning

This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning.

Semi-Supervised Learning

Semi-supervised learning is initially motivated by its practical value in learn-ing faster, better, and cheaper. In many real world applications, it is rela-tively easy to acquire a large amount of unlabeled data {x}. For example, documents can be crawled from the Web, images can be obtained from

Flood Prediction Using Machine Learning Models Literature ...

Among various ANNs, the backpropagation ANN (BPNN) was identified as the most powerful prediction tool suitable for flood time-series prediction [26]. Extreme learning machine (ELM) [92] is an easy-to-use form of FFNN, with a single hidden layer. Here, ELM was studied under the scope of ANN methods.

machine learning Definition from PC Magazine Encyclopedia

Unlike the static logic (if this - do that) in regular programs, machine learning continues to refine its logic over time and with enough samples so that the next operation is more effective than ...

Encyclopedia of Machine Learning by Claude Sammut

Jan 01, 2010 · This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the ...

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Machine Learning.oregonstate.edu

Machine Learning Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, OR 97331 1 Introduction Machine Learning is the study of methods for programming computers to learn. Computers are applied to a widerange of tasks, and for most of these it is relatively easy for programmers to design and implement the ...

Flood Prediction Using Machine Learning Models Literature ...

Among various ANNs, the backpropagation ANN (BPNN) was identified as the most powerful prediction tool suitable for flood time-series prediction [26]. Extreme learning machine (ELM) [92] is an easy-to-use form of FFNN, with a single hidden layer. Here, ELM was studied under the scope of ANN methods.

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Data Science & Machine Learning Encyclopedia - 4,000 ...

May 23, 2016 · This is one of the first comprehensive machine learning, data science, statistical science, and computer science repository -- featuring many brand new scalable, big-data algorithms published in the last two years, such as automated cataloging, causation detection, or model-free tests of hypotheses, in addition to the classics.

Machine learning - encyclopedia article - Citizendium

Machine learning methods automatically learn statistical regularities in a training data set to make accurate predictions about new data. Two definitions are: "Any change in a system that allows it to perform better the second time on repetition of the same task or .

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Machine Learning (Encyclopedia of Industrial and ...

Machine Learning Machine learning is a field overlapping with statistics and computer science and strongly associated with big data. One important point, however, is that machine learning techniques often provide their largest advantages in medium-sized data sets (say, a few hundred to a few thousand cases); in truly large data sets, different techniques converge.

Online ontrolled Experiments and A/ Tests

To appear in the Encyclopedia of Machine Learning and Data Mining, edited by Claude Sammut and Geoff Webb ...

Encyclopedia of Machine Learning and Data Mining

Machine learning and data mining are rapidly developing fields. Following the success of the first edition of the Encyclopedia of Machine Learning, we are delighted to bring you this updated and expanded edition. We have expanded the scope, as reflected in the revised title Encyclopedia of Machine

Online Encyclopedia of Statistical Science (Free) - Data ...

Jun 28, 2019 · About the author. Stephanie Glen is the founder of StatisticsHowTo, one of the most popular websites related to statistical education for non-statisticians, and .

Kids.Net.Au - Encyclopedia > Machine learning

Encyclopedia > Machine learning Article Content Machine learning. Machine learning is an area of artificial intelligence involving developing techniques to allow computers to "learn". More specifically, machine learning is a method for creating computer programs by the analysis of data sets, rather than the intuition of engineers. ...

machine learning | Encyclopedia

machine learning A branch of artificial intelligence concerned with the construction of programs that learn from experience. Learning may take many forms, ranging from learning from examples and learning by analogy to autonomous learning of concepts and learning by discovery. Source for information on machine learning: A Dictionary of Computing dictionary.

Machine learning - Academic Kids

Machine learning is an area of artificial intelligence concerned with the development of techniques which allow computers to "learn". More specifically, machine learning is a method for creating computer programs by the analysis of data sets. Machine learning overlaps heavily with statistics, since both fields study the analysis of data, but unlike statistics, machine learning is concerned ...

Ipsos Encyclopedia - Machine Learning

Definition. Machine Learning can be thought of as a set of techniques and tools that allow computers to "think" by making predictions or determining patterns in data. These machines use mathematical algorithms as vehicles to scalable self-learning. At its most basic, it is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something ...

Encyclopedia of Machine Learning: Claude ...

Encyclopedia of Machine Learning [Claude Sammut, Geoffrey I. Webb] on Amazon. *FREE* shipping on qualifying offers. This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references.

Author: Claude Sammut

Encyclopedia of machine learning (eBook, 2011) [WorldCat]

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning.

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Machine Learning | Inzata Analytics

BI Encyclopedia Machine Learning What is Machine Learning? Free Ebook: Ultimate Guide to Cleaning Data With Excel and Google Sheets DOWNLOAD. The use of algorithms to allow a computer to analyze data for the purpose of “learning” what action to .

Machine Learning in Policy Evaluation: New Tools for ...

While machine learning (ML) methods have received a lot of attention in recent years, these methods are primarily for prediction. Empirical researchers conducting policy evaluations are, on the other hand, preoccupied with causal problems, trying to answer counterfactual questions: what would have happened in the absence of a policy? Because these counterfactuals can never be directly observed ...

Reinforcement learning - Simple English Wikipedia, the ...

Reinforcement learning (RL) is teaching a software agent how to behave in an environment by telling it how good it's doing. It is an area of machine learning inspired by behaviorist psychology. Reinforcement learning is different from supervised learning because the correct inputs and outputs are never shown. Also, reinforcement learning ...

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Encyclopedia of Machine Learning and Data Mining | Claude ...

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining. A paramount work, its 800 entries - about

Encyclopedia of Machine Learning and Data Mining | Claude ...

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining. A paramount work, its 800 entries - about