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How Much Do You Know About Machine Learning?
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No.
1
/8
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The process that adjusts the parameters of a machine learning model based on the training data is?
Optimization
Regularization
Evaluation
Validation
No.
2
/8
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The technique that splits the data into two sets, one for training and one for testing is?
Cross-validation
Bootstrapping
Holdout
Resampling
No.
3
/8
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What is the name of the machine learning task that involves predicting a discrete label for a given input?
Regression
Classification
Clustering
Dimensionality reduction
No.
4
/8
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What is the name of the machine learning algorithm that uses a network of interconnected nodes to learn from data?
Decision tree
Support vector machine
Neural network
K-means
No.
5
/8
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The machine learning technique that uses multiple models to improve the performance of a single model?
Ensemble learning
Transfer learning
Reinforcement learning
Active learning
No.
6
/8
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The machine learning paradigm that involves learning from an agent’s own actions and rewards in an environment?
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning
No.
7
/8
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the machine learning problem that involves generating new data or content based on existing data or content?
Generation
Synthesis
Translation
All of the above
No.
8
/8
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The name of the machine learning framework that allows you to define and run computational graphs?
TensorFlow
PyTorch
Scikit-learn
All of the above
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