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    Privacy˙Terms˙
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    classify

    US /ˈklæsəˌfaɪ/

    ・

    UK /'klæsɪfaɪ/

    B2
    v.t.Transitive VerbTo arrange things into groups of similar items
    Classify these documents before we file them
    v.t.Transitive VerbTo keep some information secret from the public
    Please classify this information as top secret, we do not want our enemies to know how many guns we have

    Video subtitles

    How Words Can Harm: Crash Course Philosophy #28

    10:46How Words Can Harm: Crash Course Philosophy #28
    • Now, what about hurtful words that you probably wouldn't classify as hate speech?

      Now, what about hurtful words that you probably wouldn't classify as hate speech?

    • Now, what about hurtful words that you probably wouldn't classify as hate speech?

      Now, what about hurtful words that you probably wouldn't classify as hate speech?

    B1

    Funny Video- SpongeBob Squarepants, Fail Toy

    02:44Funny Video- SpongeBob Squarepants, Fail Toy
    • I Mean Really! Doesn't This Classify as maybe being one of the ten worst...

      I Mean Really! Doesn't This Classify as maybe being one of the ten worst...

    • Doesn't this classify as maybe, like, one of the 10 worst products of the decade?

      Doesn't this classify as maybe, like, one of the 10 worst products of the decade?

    B2

    Generations X, Y, and Z: Which One Are You?

    08:52Generations X, Y, and Z: Which One Are You?
    • This has prompted some researchers to classify Generation X as those born from 1961 to 1981.

      This has prompted some researchers to classify Generation X as those born from 1961 to 1981.

    • Someone born in 1996 might not remember or have an emotional connection to the events of 2001, which is why some researchers classify them as Centennials rather than Millennials.

      Someone born in 1996 might not remember or have an emotional connection to the events of 2001, which is why some researchers classify them as Centennials rather than Millennials.

    B1

    Can We Trust The DSM-5?

    10:54Can We Trust The DSM-5?
    • This ambiguity is the very reason doctors came together to describe and classify all the atypical behaviors they saw.

      This ambiguity is the very reason doctors came together to describe and classify all the atypical behaviors they saw.

    • This ambiguity is the very reason doctors came together to describe and classify all the atypical behaviors they saw.

      This ambiguity is the very reason doctors came together to describe and classify all the atypical behaviors they saw.

    B2

    Language Learning in 2025

    30:47Language Learning in 2025
    • And then if this works and I reach a decent, decently high level, I don't know how to classify what I'm talking about here.

      And then if this works and I reach a decent, decently high level, I don't know how to classify what I'm talking about here.

    A2

    The Psychology of Malignant Narcissists - People of the Lie

    13:58The Psychology of Malignant Narcissists - People of the Lie
    • and as Peck writes in his book The People of the Lie, "It would be quite appropriate to classify evil people as constituting a specific variant of the narcissistic personality disorder.

      and as Peck writes in his book The People of the Lie, "It would be quite appropriate to classify evil people as constituting a specific variant of the narcissistic personality disorder.

    • “It would be quite appropriate to classify evil people as constituting a specific variant

      “It would be quite appropriate to classify evil people as constituting a specific variant

    A1

    Introduction to Generative AI

    22:08Introduction to Generative AI
    • A discriminative model is a type of model that is used to classify or predict labels for data points.

      A discriminative model is a type of model that is used to classify or predict labels for data points.

    • A discriminative model is a type of model that is used to classify or predict labels for data points.

      A discriminative model is a type of model that is used to classify or predict labels for data points.

    B1

    Introduction to large language models

    15:46Introduction to large language models
    • And in this example, classify the text into neutral, negative, or positive.

      And in this example, classify the text into neutral, negative, or positive.

    • And in this example, classify the text into neutral, negative, or positive.

      And in this example, classify the text into neutral, negative, or positive.

    B1

    TURN LIKE THIS in the BACKSWING and you Will RIP THE COVER OFF the Ball

    04:03TURN LIKE THIS in the BACKSWING and you Will RIP THE COVER OFF the Ball
    • And that's what I like to classify and talk about as fake turn, right?

      And that's what I like to classify and talk about as fake turn, right?

    • And that's what I like to classify and talk about as fake turn.

      And that's what I like to classify and talk about as fake turn.

    B1

    What is Art?

    02:26What is Art?
    • Over the years, a lot of people have tried to classify what it is or what it isn't,

      Over the years, a lot of people have tried to classify what it is or what it isn't,

    • Over the years, a lot of people have tried to classify what it is or what it isn't.

      Over the years, a lot of people have tried to classify what it is or what it isn't.

    A2