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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. To act as if something is true when it is not.

thought

/THôt/

noun verb

Ideas of a particular group. To have an idea about something without certainty.

digital

/ˈdijidl/

adjective

Using electronic signals or computers.

features

/ˈfēCHər/

noun other verb

distinctive attribute or aspect. Special reports in a magazine or paper. 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 or course of action. To calculate size, weight or temperature of.

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. To throw or move into various different directions.

different

/ˈdif(ə)rənt/

adjective

Not of the same kind; unlike other things.

represented

/ˌreprəˈzent/

verb

To act or speak for another person or other people.

question

/ˈkwesCH(ə)n/

noun verb

sentence worded or expressed so as to elicit information. ask someone questions.

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. Colors that are a mixture of red and yellow.

delivery

/dəˈliv(ə)rē/

noun

Act of taking something to a person or place.

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