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Interview Duniya @interview_dunia

We provide free mock interviews and live learning sessions for data science enthusiasts. #datascience #machinelearning #artificialintelligence

Joined April 2019
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Which word embedding allows custom training for a specific subject? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #wordembedding #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics
50% BERT
0% Word2Vec
50% GloVe
0% All of the above
2 votes • Final results
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Which one is not a word embedding technique? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #wordembedding #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
0% GloVe
0% Support Vector Machine (S
0% BERT
100% Word2Vec
1 votes • Final results
Which of the following are word embedding techniques? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
0% Word2Vec
0% BERT
0% GloVe
100% All of the above
1 votes • Final results
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#NewProfilePic #Newlogo
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Does Neural Word Embedding mean words represented as vectors? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
0% a) True
0% b) False
0 votes • Final results
In text-mining, which method is used to convert text into tokens and convert them into an integer or floating-point vectors? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation
0% Count Vectorizer
0% TF-IDF
0% NERs
0% Bag of Word
0 votes • Final results
Which one is not a pre-processing technique? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
0% Stemming and Lemmatizatio
0% Removal of Stop Words
100% Sentiment Analysis
0% Converting to Lower Case
1 votes • Final results
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To identify people, organization, and location which method(s) do we use? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statisticsfordatascience
0% a) Stop Word Removal
0% b) Lemmatization
100% c) Stemming
0% d) Named Entity Recogniti
1 votes • Final results
Stemming is a process to convert a sentence into tokens: #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
100% a) True
0% b) False
1 votes • Final results
How to check the strength of linearity between two continuous variables?? #Datascience #machinelearning #artificialintelligence #interviewquestions #interviewpreparation #learndatascience #datasciencetraining #mockinterviewsession
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[Comment your answer below👇👇 ] The technique which is used to remove the words like "and", "is", "are", "a", and "the" from a sentence is called? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining
0% a) Lemmatization
0% b) Stemming
0% c) Stop Word
100% d) All of the above
1 votes • Final results
What could be the possible features of text corpus? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #nlp #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
0% a) Part of Speech Tagging
0% b) Vector Notation of a W
100% c) Basic Dependency Gramm
0% d) All of the above
1 votes • Final results
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What is the covariance coefficient? | Machine learning interview question youtu.be/3-zQ-Q0ePCc #DataScience #machinelearning #AI #ArtificialIntelligence #machinelearninginterviewquestions

What is covariance coefficient? | Machine learning interview question

Covariance tells you whether two random variables vary with respect...

youtube.com
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[Comment your answer below 👇] Which of the following techniques can be used to convert a keyword into its base form? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #datasciencetraining #interviewpreparation #mockinterview
0% a) N-Grams
0% b) Soundex
100% c) Lemmatization
0% d) Cosine Similarity
2 votes • Final results
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If a distribution is abnormally tall and peaked, then it can be said that the distribution is: #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics
0% a) Leptokurtic
0% b) Pyrokurtic
0% c) Platykurtic
0% d) Mesokurtic
0 votes • Final results
The standard deviation can be negative. True or False? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #datasciencetraining #interviewpreparation #mockinterview #dailyquiz #statistics #statisticsfordatascience
67% a) TRUE
33% b) FALSE
3 votes • Final results
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𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐑𝐎𝐂 𝐜𝐮𝐫𝐯𝐞 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐢𝐭? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #datasciencetraining #linearregression #L1L2regularization #regressionanalysis
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[Comment your answer below👇] If the variance of a dataset is correctly computed with the formula using (n – 1) in the denominator, which of the following option is true? #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence
0% a) Dataset is a sample
0% b) Dataset is a populatio
0% c) Dataset is from a cens
100% d) None of the above
1 votes • Final results
𝐖𝐡𝐞𝐧 𝐭𝐨 𝐝𝐨 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐚𝐟𝐭𝐞𝐫 𝐭𝐫𝐚𝐢𝐧 𝐭𝐞𝐬𝐭 𝐬𝐩𝐥𝐢𝐭 𝐨𝐫 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞 𝐬𝐩𝐥𝐢𝐭? 𝐀𝐧𝐬𝐰𝐞𝐫: In general, feature scaling should be done after the split to avoid data leakage. [A THREAD>>>]
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Let's take the example of standardization where we use the standard deviation of training data to scale the features. So to scale test data use the same standard deviation and scale test data (then calculate the standard deviation for testing data and use it.)
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4) Then test on the testing set. #datascience #learndatascience #machinelearnig #machinelearningalgorithms #artificialintelligence #datasciencetraining #linearregression #L1L2regularization #regressionanalysis #statisticaldataanalysis #interviewpreparation #mockinterview
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