ACP Machine Learning & AI Integration — Questions and Answers
Question 1: Which Python library is widely used for machine learning?
- Matplotlib
- Scikit-learn (Correct answer)
- Flask
- Pandas
Correct answer: Scikit-learn
Scikit-learn is a popular machine learning library in Python that provides tools for classification, regression, and clustering.
Question 2: What is the purpose of TensorFlow in AI development?
- Creating static data reports
- Building and training AI models (Correct answer)
- Managing databases
- Generating HTML pages
Correct answer: Building and training AI models
TensorFlow is an open-source framework for building and training machine learning and deep learning models efficiently.
Question 3: Which technique is commonly used to train AI models?
- Supervised learning (Correct answer)
- Random sampling
- Hard coding patterns
- Automated data sorting
Correct answer: Supervised learning
Supervised learning is a machine learning technique where models are trained using labeled datasets to make predictions.
Question 4: What is a neural network in AI?
- A set of static rules for automation
- A network of connected nodes for deep learning (Correct answer)
- A predefined list of conditions
- A manual programming approach
Correct answer: A network of connected nodes for deep learning
A neural network is a computational model inspired by the human brain that is used in deep learning for tasks like image recognition and natural language processing.
Question 5: Which machine learning algorithm is best for classification tasks?
- Linear regression
- Random Forest (Correct answer)
- K-Means Clustering
- Naïve Bayes
Correct answer: Random Forest
The Random Forest algorithm is commonly used for classification problems due to its ability to handle large datasets and prevent overfitting.
Question 6: What is an advantage of using AI in data analysis?
- Increases manual workload
- Automates data analysis and pattern recognition (Correct answer)
- Reduces accuracy in predictions
- Requires no computational resources
Correct answer: Automates data analysis and pattern recognition
AI enables automation of complex data analysis, allowing for faster insights and pattern recognition across large datasets.
Which Python library is widely used for machine learning?