Library

EXP: 08888
HITS: {{lyricTraining.hits}}888
STREAKS: {{lyricTraining.streaks}}888
TIME: {{lyricTraining.timeout / 1000}}88
{{word.word}}

{{cue.translated_text}}

{{lyricTraining.hint}}

x{{playblackSpeed.toFixed(2)}}

Loading ..

Not Found

{{annotation.word}} ({{annotation.pos_simplify}})

/{{annotation.phonetic}}/

{{annotation.translation}}

{{annotation.name}}

{{annotation.sub_type}}

Back

Games & Quizzes

Training Mode - Typing
Fill the gaps to the Lyric - Best method
Training Mode - Picking
Pick the correct word to fill in the gap
{{game.name}}
{{game.description}} Requires {{game.required_annotions}} vocabulary annotations

Congratulations! You gained {{totalPoint}} XP

You may need to watch a part of the video to unlock quizzes

Don't forget to Sign In to save your points

Repeat Skip ({{game.question_index}}/{{game.questions.length}})
{{part}}
Repeat Skip ({{game.question_index + 1}}/{{game.questions.length}})
{{choice.text}}
{{choice.text}}

Make correct pairs from two columns

{{lyricTraining.finished && lyricTraining.timed_out ? 'Timed Out' : 'Challenge Accomplished'}}

PERFECT HITS {{lyricTraining.stats.PERFECT_HITS}} +{{lyricTraining.stats.PERFECT_HITS * 20}}
HITS {{lyricTraining.stats.HITS}} +{{lyricTraining.stats.HITS * 10}}
LONGEST STREAK {{lyricTraining.stats.LONGEST_STREAKS}} +{{lyricTraining.stats.LONGEST_STREAKS * 10}}
REMAINING TIME {{lyricTraining.timeout / 1000}}s +{{lyricTraining.timeout / 1000}}
TOTAL +{{lyricTraining.exp}}
{{word.word}} - {{dictionary.definition[0].phonetic || ("/" + dictionary.phonetics +"/")}} - {{word.translation}}

We couldn't find definitions for the word you were looking for.
Or maybe the current language is not supported

{{simpleDefinition.pos}}

{{simpleDefinition.def}}

{{word.word}}

Sentences & parts of speech:

  • {{tag.normal}} {{tag.pos_name}}

  • {{c.startTime | duration}}


    {{c.translated_text}}

All {{pos.pos_simplify}}
{{a.word || a.name}}
/{{a.phonetic}}/

{{a.type || a.sub_type}}

{{a.translation}}
{{a.definition}}

Databricks Demo: Operationalizing Data Science and ML on Databricks using MLflow

3,974 views

Video Language:

  • English

Caption Language:

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

Accent:

  • English (US)

Speech Time:

88%
  • 9:42 / 10:57

Speech Rate:

  • 180 wpm - Fast

Category:

  • Science & Technology

Intro:

Video Vocabulary

/səˈpôrt/

noun other verb

thing that bears weight of something or keeps it upright. Things to hold up or prevent from falling down. To help prove or show that something is true.

/əˈtaCHt/

adjective verb

joined to something. To be associated or connected with.

/ˈindəˌkādər/

noun

thing indicating state or level.

/ˈsīəntəst/

noun other

person who is studying or has expert knowledge of one or more of natural or physical sciences. People who are trained in a science.

welcome - welcome

/ˈwelkəm/

adjective exclamation noun verb

gladly received. used to greet someone in polite or friendly way. instance or manner of greeting someone. To greet someone who has just arrived.

/ˈplatfôrm/

noun

Area from which you board a train at a station.

/ˌdäkyəmənˈtāSH(ə)n/

noun

Official papers that give information.

/iɡˈzistiNG/

adjective verb

in existence or operation at current time. To be present, alive or real.

/ikˈsplān/

verb

To make clear or easy to understand by describing.

/ˈanlˌīz/

verb

To study carefully to find out the meaning of.

/inˈvīrənmənt/

noun

The entire surrounding conditions of something.

/prəˈper/

verb

To make something ready for use.

/ˈpräbləm/

adjective noun

Causing trouble. Something difficult to deal with or causes trouble.

/ˈmädliNG/

noun verb

work of fashion model. To make a small scale copy of a full original.

/kəˈlabəˌrāt/

verb

To work together to complete a task.

Q
W
E
R
T
Y
U
I
O
P
A
S
D
F
G
H
J
K
L
Z
X
C
V
B
N
M