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2.3: How to train Machine Learning systems?

4,575 views

Google for Developers

Video Language:

  • English

Caption Language:

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

Accent:

  • English (US)

Speech Time:

97%
  • 17:00 / 17:27

Speech Rate:

  • 189 wpm - Fast

Category:

  • Science & Technology

Tags :

Intro:

Video Vocabulary

pretend

/prəˈtend/

adjective verb

imaginary. give appearance that something is so.

thought

/THôt/

noun verb

Ideas of a particular group. To have an idea, opinion or belief about something.

digital

/ˈdijidl/

adjective

Using electronic signals or computers.

features

/ˈfēCHər/

noun other verb

distinctive attribute or aspect. Distinctive or important points of some things. have as prominent attribute or aspect.

spectrums

/ˈspektrəm/

noun other

band of colours, as seen in rainbow, produced by separation of components of light. The wavelengths of colors from red to violet.

measure

/ˈmeZHər/

noun verb

Plan to achieve a desired result. determine size or amount.

farmers

/ˈfärmər/

noun other

person who owns or manages farm. People who operates a farm.

weighing

/wā/

verb

To consider something carefully to form an opinion.

scatter

/ˈskadər/

noun other verb

small, dispersed amount of something. To place or leave things in various places. throw in various random directions.

different

/ˈdif(ə)rənt/

adjective

not same as another or each other.

represented

/ˌreprəˈzent/

verb

To depict art objects, figures, scenes; to portray.

question

/ˈkwesCH(ə)n/

noun verb

What you ask about; issue. To have or express concerns or uncertainty.

attributes
noun other verb

Characteristic something has, e.g. size or color. Adjectives placed before the nouns they modify. (Of books, art, music) to say it was composed by.

oranges

/ˈôrənj/

noun other

large citrus fruit. Juicy round fruits with an orange skin color.

delivery

/dəˈliv(ə)rē/

noun

Way someone acts when speaking publicly.

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