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1. Which are common sources of data used in machine learning pipelines?
(Choose two)
Response:
A) APIs
B) Manual calculations
C) Model ensembling
D) Web scraping
2. The term 'convolution' in CNNs refers to:
Response:
A) The process of combining multiple neural networks
B) A specialized neural network layer for image processing
C) A technique for accelerating network training
D) A function applied to reduce the size of the data
3. What is NumPy essential for in data science?
Response:
A) Building interactive dashboards
B) Handling large arrays and matrices efficiently
C) Web scraping and data collection
D) Text processing and natural language understanding
4. Which statistic is used to measure the relationship between two variables?
Response:
A) Standard deviation
B) Correlation coefficient
C) Mean
D) Median
5. In machine learning, what does 'ensemble learning' refer to?
Response:
A) Using a single algorithm to train models
B) Implementing deep learning models
C) Reducing the dimensionality of the input data
D) Combining multiple learning algorithms to improve performance
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: D |
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