10 results found for: “machine_learning”.

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Machine learning

Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve...

Last Update: 2022-06-28T10:25:17Z Word Count : 11543

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Hyperparameter (machine learning)

In machine learning, a hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters...

Last Update: 2022-05-04T05:09:26Z Word Count : 1237

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Boosting (machine learning)

In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine...

Last Update: 2021-11-16T23:35:56Z Word Count : 2228

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Adversarial machine learning

Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. A recent survey exposes...

Last Update: 2022-06-28T16:40:43Z Word Count : 6657

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Attention (machine learning)

(machine learning model) § Scaled dot-product attention Perceiver § Components for query-key-value (QKV) attention Yann Lecun (2020). Deep Learning course...

Last Update: 2022-06-19T06:32:15Z Word Count : 1057

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Deep learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with...

Last Update: 2022-05-20T03:34:59Z Word Count : 14252

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Support-vector machine

In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that...

Last Update: 2022-06-20T20:14:45Z Word Count : 8611

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Quantum machine learning

Quantum machine learning is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine learning...

Last Update: 2022-05-12T18:19:00Z Word Count : 7523

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Active learning (machine learning)

Active learning is a special case of machine learning in which a learning algorithm can interactively query a user (or some other information source) to...

Last Update: 2022-06-25T15:54:32Z Word Count : 1537

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Artificial intelligence

used to describe machines that mimic and display "human" cognitive skills that are associated with the human mind, such as "learning" and "problem-solving"...

Last Update: 2022-06-30T02:18:05Z Word Count : 22035

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Main result

Machine learning

Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers, but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. In its application across business problems, machine learning is also referred to as predictive analytics.


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