machine learning
машинное обучение
AI method
Learn machine learning with free cards in 30 seconds.
10 minutes a day can add up to 3,000 words a year. Spaced flashcards bring each word back when it is time to remember it.
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How many words can you learn in a year?
If you learn 8-10 new words a day and review them regularly with flashcards, you can cover about 3,000 words in a year.
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We count words you add to learning and review regularly. Active use grows gradually and depends on practice.
| Pace | Per day | Per year | Best for |
|---|---|---|---|
| Easy | 3 words | ≈ 1,100 words | starting without pressure |
| Balanced | 5 words | ≈ 1,800 words | steady growth |
| Recommended | 8 words | ≈ 2,900 words | around 3,000 words a year |
| Fast | 10 words | ≈ 3,650 words | visible vocabulary growth |
| Intensive | 15 words | ≈ 5,500 words | strong motivation |
machine learning with Russian translation
machine learning usage examples
Я написал простую программу для задания по машинному обучению.
I wrote a simple program for a machine learning assignment.
Лекция познакомила слушателей с основными моделями и примерами машинного обучения.
The lecture introduced basic machine learning models and examples.
Learn by topic
machine learning belongs to the topic "Subjects". Start with a short 7-word set so the word is easier to remember in context.
machine learning synonyms
Related words worth learning together
Emphasizes statistical foundations and methods for learning from data; often used in academic contexts.
Statistical learning focuses on the theoretical properties of prediction algorithms.
Broad discipline involving data analysis, statistics, and ML; more interdisciplinary and practice-oriented.
Data science teams use ML models, but also focus on data cleaning and visualization.
Emphasizes discovering patterns and knowledge from large datasets; historically overlaps with ML and statistics.
Data mining techniques revealed customer segments that the ML model later exploited.
Focuses on building models to predict outcomes; often used in business and applied analytics rather than theory.
Predictive modeling was used to estimate customer churn next quarter.
Emphasizes detecting patterns in data (images, signals); overlaps with ML but has a stronger legacy in signal and image processing.
Pattern recognition techniques are used in handwriting and speech recognition systems.
What’s the difference
How is machine learning different from related words?
Short comparisons help you choose the right word by meaning, context, and typical examples.

В чем разница в английском между carry, wear, tote и lug
Carry — нести или иметь при себе, wear — носить на теле, tote — таскать с собой, lug — тащить тяжёлое с усилием.

В чем разница в английском между whole, entire, complete и intact
Разница между whole, entire, complete и intact: целое, весь объем, завершенность и сохранность без повреждений.

В чем разница в английском между choose, pick, select и opt for
Разница между choose, pick, select и opt for: обычный выбор, разговорный выбор, выбор из списка и осознанное предпочтение.
Related words and lists for machine learning
Questions about this word
machine learning meaning: what does it mean?
AI method
machine learning pronunciation: how do you pronounce it?
machine learning is pronounced as /məˈʃiːn ˈlɜːnɪŋ/. Audio is available on this page when the word has a recording.
machine learning definition and sentence examples: how is it used in a sentence?
I wrote a simple program for a machine learning assignment. Translation: Я написал простую программу для задания по машинному обучению.
Is machine learning part of Subjects vocabulary?
Yes, machine learning (машинное обучение) can be learned in the Subjects topic. This semantic link helps build related word lists and topic-based practice.
Is machine learning part of Study and Work vocabulary?
Yes, machine learning (машинное обучение) can be learned in the Study and Work topic. This semantic link helps build related word lists and topic-based practice.
Learn machine learning in your vocabulary
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