Lec 6
Machine Learning Fundamentals Quiz
Test your knowledge of machine learning concepts with this engaging quiz! Designed to assess your understanding of various aspects of supervised and unsupervised learning, this quiz will challenge your grasp of key terms and methodologies.
Key features:
- 10 multiple-choice questions
- Instant feedback on your answers
- Perfect for students and professionals alike
In a machine learning model , what comes after the preprocessing ?
Measuring devices
Prediction
Dimensionality reduction
Model selection
Supervised learning does not aim to produce output in the response of the particular input instead it discovers patterns in data
T
F
Predicted category or value of the data (column to predict)
Target
Features
Example
Label
Properties of the data used for prediction (non-target columns)
Target
Features
Example
Label
Unsupervised learning is Learning a model from unlabeled data.
T
F
You never train your model and test its performance on the same dataset
T
F
A set of unseen data used only to assess the performance of a fully-specified classifier.
Validation set
Training set
Learning set
Test set
Is a type of dynamic programming that trains algorithms using a system of reward and punishment.
Supervised learning
Unsupervised learning
Reinforcement learning
Machine Learning
Clustering is an important concept when it comes to supervised learning.
T
F
Example is a single data point within the data (one row)
T
F
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