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Artificial Intelligence and Machine Learning 5 - Group DRO | Stanford CS221: AI (Autumn 2021)

247 views

Stanford Online

Video Language:

  • English

Caption Language:

  • {{captionLanguage | language_name}} ({{captionLanguage}})

Accent:

  • English (US)

Speech Time:

97%
  • 17:10 / 17:39

Speech Rate:

  • 145 wpm - Conversational

Category:

  • Education

Tags :

Intro:

Video Vocabulary

skinned

/skind/

adjective verb

having skin of specified type. To defeat someone easily and completely.

between

/bəˈtwēn/

adverb preposition

in space separating things. Among two or more people who share something.

distribution

/ˌdistrəˈbyo͞oSH(ə)n/

adjective noun

Sending products to stores to sell. An arrangement of values showing frequency.

optimization

/ˌäptəməˈzāSHən/

noun

Efforts to make as effective as possible.

genders

/ˈjendər/

noun other

either of two sexes. States of being male or female.

accuracies

/ˈakyərəsē/

noun other

quality or state of being correct or precise. Correctness or precision.

generally

/ˈjen(ə)rəlē/

adverb

in most cases.

machine

/məˈSHēn/

noun verb

Powerful group who control and organize things. make or operate on with machine.

training

/ˈtrāniNG/

noun verb

Act of educating someone to get better at. To cause a plant to grow a certain way by cutting.

inequalities

/ˌinəˈkwälədē/

noun other

lack of equality. Situations where things are not equal, fair.

disparities

/dəˈsperədē/

noun other

great difference. The conditions or facts of being unequal, as in age, rank, or degree; difference.

example

/iɡˈzampəl/

noun verb

Thing, person which represents a category. be illustrated or exemplified.

actually

/ˈak(t)SH(o͞o)əlē/

adverb

Used to add new (often different) information.

collected

/kəˈlektəd/

adjective verb

calm and self-controlled. To gather things, people together in one place.

because

/bēˈkəz/

conjunction

for reason that.

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