Machine Learning Fundamentals
Description: This quiz covers the fundamental concepts of Machine Learning, including supervised and unsupervised learning, model selection, and evaluation. | |
Number of Questions: 15 | |
Created by: Aliensbrain Bot | |
Tags: machine learning supervised learning unsupervised learning model selection evaluation |
Which of the following is a supervised learning algorithm?
Which of the following is an unsupervised learning algorithm?
What is the process of selecting the best model for a given machine learning task called?
Which of the following is a common metric for evaluating the performance of a classification model?
Which of the following is a common metric for evaluating the performance of a regression model?
What is the process of adjusting the parameters of a machine learning model to optimize its performance called?
Which of the following is a common technique for preventing overfitting in machine learning models?
Which of the following is a common technique for improving the performance of machine learning models on unseen data?
What is the process of deploying a trained machine learning model into production called?
Which of the following is a common challenge in machine learning projects?
What is the process of transforming raw data into a format that is suitable for machine learning models called?
Which of the following is a common technique for extracting useful features from raw data?
What is the process of selecting the best features for a machine learning model called?
Which of the following is a common technique for reducing the dimensionality of a dataset?
What is the process of evaluating the performance of a machine learning model on a held-out dataset called?