Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning and Deep Learning: Future Topics

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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of the geometric perspective in machine learning?
Understanding the mathematical equations
Visualizing data as geometric shapes
Writing complex algorithms
Learning programming languages
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is obtaining labeled data for supervised learning often challenging?
It involves complex mathematics
It requires advanced algorithms
It needs high computational power
It is time-consuming and costly
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key advantage of unsupervised learning?
It is faster than supervised learning
It requires labeled data
It is more accurate than supervised learning
It can group similar data without labels
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an application of reinforcement learning?
Image classification
Clustering news articles
Playing video games
Predicting stock prices
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a significant difference between AlphaGo and A0?
A0 learned without human strategies
A0 requires human strategies
AlphaGo uses unsupervised learning
AlphaGo learned by playing against itself
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to understand train and test sets in machine learning?
To improve data collection
To enhance algorithm speed
To ensure model generalization
To reduce computational cost
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a hyperparameter in the context of machine learning?
A type of supervised learning
A setting that is manually adjusted
A parameter that is learned from data
A method for data preprocessing
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