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Oracle Exam 1Z0-1122-23 Topic 1 Question 21 Discussion

Actual exam question for Oracle's 1Z0-1122-23 exam
Question #: 21
Topic #: 1
[All 1Z0-1122-23 Questions]

Which Deep Learning model is well-suited for processing sequential data, such as sentences?

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Suggested Answer: A

Classification and regression are two subtypes of supervised learning in machine learning. The main difference between them is the type of output variable they deal with. Classification assigns data points to discrete categories based on some criteria or rules. For example, classifying emails into spam or not spam based on their content is a classification problem because the output variable is binary (spam or not spam). Regression predicts continuous values for data points based on their input features. For example, predicting house prices based on their size, location, amenities, etc., is a regression problem because the output variable is continuous (house price). Classification and regression use different types of algorithms and metrics to evaluate their performance.Reference::Oracle Cloud Infrastructure AI - Machine Learning Concepts,Classification vs Regression in Machine Learning | by ...


by Kayleigh at Jun 18, 2024, 07:11 PM

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Eliseo
9 months ago
D) Classification and regression both assign data points to categories? That's just silly, everyone knows regression is for continuous values. Clearly the right answer is A.
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Carry
9 months ago
Ha! I almost fell for option C, that's a classic trick question. Regression is all about the numbers, not the categories.
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Izetta
8 months ago
Ha! I almost fell for option C, that's a classic trick question. Regression is all about the numbers, not the categories.
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Vernice
8 months ago
B) Classification and regression both predict continuous values.
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Emmanuel
8 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Pete
8 months ago
Ha! I almost fell for option C, that's a classic trick question. Regression is all about the numbers, not the categories.
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Alyce
8 months ago
B) Classification and regression both predict continuous values.
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Dean
8 months ago
A) Ha! I almost fell for option C, that's a classic trick question. Regression is all about the numbers, not the categories.
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Kerry
8 months ago
B) Classification and regression both predict continuous values.
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Jacki
8 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Elouise
9 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Loren
10 months ago
C) Classification predicts continuous values, whereas regression assigns data points to categories. That's how I see it.
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Arthur
10 months ago
I agree with Sheron, the key distinction is that classification is about grouping data into discrete categories, while regression is about predicting a continuous numerical output.
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Edna
9 months ago
B) Classification and regression both predict continuous values.
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Rory
9 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Nu
10 months ago
I think the difference is clear, classification is about categories and regression is about continuous values.
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Lera
10 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Sheron
11 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values. This is the correct answer, it's a fundamental difference between the two approaches in supervised learning.
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Georgeanna
10 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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Sherly
10 months ago
B) Classification and regression both predict continuous values.
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Nathalie
10 months ago
A) Classification assigns data points to categories, whereas regression predicts continuous values.
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