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Quiz 2: Questions on Data Science, Artificial Intelligence, Machine Learning Flashcards | StudBud
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Quiz 2: Questions on Data Science, Artificial Intelligence, Machine Learning
Quiz 2: Questions on Data Science, Artificial Intelligence, Machine Learning
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1
Our speaker for the Data Science session was______.
Ede Abuedefe
Ede Aibuedefe
Edeh Aibuedefe
Ade Aibuedefe
2
What is the Turing test used for in AI?
Detecting and preventing AI biases
Assessing the ability of a machine to exhibit human-like intelligence
Measuring the computational power of a machine
Optimizing the efficiency of algorithms
3
Our speaker for the Data Science session was a male.
True
False
4
Our speaker for the AI/ML session was______.
Jose Ologunja
Joseph Ologunja
Josef Ologunjah
Joseph Olohgunja
5
What metric is commonly used to evaluate the performance of a classification model?
Mean squared error
R-squared
Accuracy
F1-score
6
Which natural language processing (NLP) technique helps computers understand the meaning of text?
Regularization
Feature scaling
Tokenization
Word embedding
7
What is the term for the ability of a machine to learn and improve without explicit programming?
Unsupervised learning
Transfer learning
Supervised learning
Reinforcement learning
8
Which type of machine learning algorithm excels at finding hidden patterns in unlabeled data?
Neural Networks
Classification
Regression
Clustering
9
What is the name for a large, interconnected network of neurons used in deep learning?
Artificial Neural Network
Markov Chain
Decision Tree
Support Vector Machine
10
What is the biggest challenge facing the field of AI today?
Potential for ethical and societal issues
Lack of computing power and resources
All of the above
Difficulty in interpreting complex models
11
Which of these is NOT a core skill for a data scientist?
Business acumen and communication
Deep learning expertise
Programming (Python, R)
Statistics and probability
12
What is the potential benefit of using AI in healthcare?
Personalized medicine recommendations based on individual data
All of the above
Improving accuracy and efficiency in medical diagnosis
Automating tedious administrative tasks
13
What's the primary difference between data science and data analysis?
Data science emphasizes communication and business insights.
Data science uses more advanced algorithms.
Data analysis focuses solely on numerical data.
Data analysis involves only data cleaning and preparation.
14
What is the main goal of computer vision in AI?
Generating creative text formats
Understanding and interpreting visual information from images and videos
Learning from past experiences and adapting to new situations
Planning and executing actions in the real world
15
What does the term "overfitting" refer to in machine learning?
Underestimating the complexity of the model
Memorizing the training data too closely, reducing generalization
Not having enough data for training
Biases introduced by the training data