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}}

Data Science VS Machine Learning | Difference between Data Science & Machine learning | KnowledgeHut

24,543 views

Intro:

Video Vocabulary

welcome - welcome

/ˈwelkəm/

adjective exclamation noun verb

Being what was wanted or needed. used to greet someone in polite or friendly way. instance or manner of greeting someone. To accept or receive something happily and gladly.

/ˈklirlē/

adverb

In a way that is easy to understand; obviously.

/ˈkāpəb(ə)l/

adjective

Being able to do something very well; proficient.

/ˈyo͞odlˌīz/

verb

To use something for a particular purpose.

/ˈanlˌīz/

verb

examine methodically.

/wəˈT͟Hout/

adverb conjunction preposition

outside. without it being case that. Not with; not having.

/ˈprezəns/

noun

Ability to reach a market, group of people etc..

/ˌəndərˈstandiNG/

adjective noun verb

Being sympathetic. Knowledge about something or someone. To know the meaning of language, what someone says.

/məˈSHēn/

noun verb

mechanical apparatus. make or operate on with machine.

/ˈdif(ə)rəns/

noun verb

Not of the same kind; unlike other things. alter coat of arms.

/ˌinstəˈt(y)o͞oSH(ə)n/

noun other

organization founded for purpose. Organizations created for a certain cause, purpose.

/ˈbiznəs/

noun other

commercial activity. Companies formed for making profit.

/ˈlərniNG/

noun verb

acquisition of knowledge or skills through study. To get knowledge or skills by study or experience.

verb

To manufacture something using machines.

/ədˈvanst/

adjective verb

modern and recently developed. To change or improve.

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