Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Data Mapping

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Information Technology (IT), Architecture
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University
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of the text generation model discussed in the video?
Word-level modeling
Character-level modeling
Document-level modeling
Sentence-level modeling
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many unique characters are used in the Shakespeare text data?
52
26
100
65
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a feature vector in the context of machine learning?
A list of characters
A paragraph of text
A sequence of words
An array of numbers
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important for all inputs to have the same length in machine learning models?
To simplify data storage
To improve model accuracy
To reduce computation time
To ensure consistent training
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using embeddings in text modeling?
To create dense feature vectors
To simplify text formatting
To convert text to binary
To increase text length
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which framework is mentioned as having built-in support for embeddings?
TensorFlow
Scikit-learn
Pandas
Matplotlib
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main function of the recurrent neural network in this model?
To summarize text
To classify text
To predict the next character
To translate text
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