machine learning
4
4.7
- noun
- /məˈʃin ˈlɜrnɪŋ/
- Specialized
:
aprendizaje automático
- This Internet connected tea infuser used machine learning and advanced algorithms to produce the perfect cup of tea.
- machine learning algorithm
- machine learning system
- machine learning techniques
And there's a whole area of machine learning called search.
- And there's a whole area of machine learning called search.
- Could you potentially use machine learning to triage these reports?
- On the other hand, the machine learning is so much faster than human learning.
- So what they did is they created this machine learning algorithm, right?
- We can use these machine learning algorithms that extract knowledge from the black box.
- But kids are better at this than how current machine learning systems are.
- For the first time, scientists have used X-ray scans and machine learning to begin to read them.
- Same time goes for machine learning systems, AI and so on.
- It seems like being able to use machine learning to design.
- It's part of that constitutes machine learning of sorts of sorts.
- And let me go figure out voice or Arkansas or machine learning or blockchain.
Examples
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An important idea for achieving robustness in machine learning is regularization.
Academic text (2017) -
It's a machine learning app that generates melodies over chord progressions.
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Experiment 3 - results: effect of data size on machine learning performance.
Academic text (2016) -
A common criticism to machine learning systems is that they are black boxes.
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But we know that computer vision systems based on machine learning sometimes make errors that no human would make.
Academic text (2017) -
Most of the challenges previously cited require a machine learning approach to obtain suitable models.
Academic text (2018) -
Many algorithms in machine learning, particularly supervised machine learning, are given historical examples to learn from.
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The goal of this study is to propose a machine learning-based stroke risk assessment system (sRAS).
Academic text (2016) -
Regularization is the key to preventing overfitting, and virtually all applications of machine learning employ some form of regularization.
Academic text (2017) -
The use of machine learning has transformed how businesses analyze customer data.
Synonyms
40
4.1
Computer methods that let programs get better by finding patterns in data
2
6.0
A method to make computers learn from data to do tasks
How Autonomous
- Specialized
3
6.3
- Specialized
4
4.7
- Specialized
2
4.8
1
4.2
- Specialized
28
3.4
Surface Forms
Morphology
The meaning 'learning performed by machines' is directly derivable from the constituents: 'machine' (a device or system) + 'learning' (the process of acquiring knowledge or skills). Although it denotes a technical field, the compositional logic is transparent and mirrored in many languages, so a B1 learner who knows both words should be able to infer the basic meaning.
Etymology
The compound noun machine learning comes from the simple idea of a machine plus the word learning: a machine that can 'learn' like a person by looking at many examples and finding patterns. So machine learning means a computer way to 'learn' from data and get better over time.