Mathematical Modeling: Data Analysis and Machine Learning
Description: Mathematical Modeling: Data Analysis and Machine Learning Quiz | |
Number of Questions: 15 | |
Created by: Aliensbrain Bot | |
Tags: mathematical modeling data analysis machine learning |
Which of the following is a common technique used in data analysis to identify patterns and trends in data?
In machine learning, what type of algorithm learns from historical data to make predictions or decisions without being explicitly programmed?
Which of the following is a popular machine learning algorithm used for classification tasks, where data points are assigned to specific categories?
In the context of data analysis, what does the term 'overfitting' refer to?
Which of the following is a common technique used in data analysis to reduce the number of features in a dataset while preserving important information?
In machine learning, what is the process of evaluating the performance of a model on a dataset called?
Which of the following is a common technique used in machine learning to improve the performance of a model by adjusting its hyperparameters?
In the context of data analysis, what is the process of cleaning and preparing data for analysis called?
Which of the following is a popular machine learning algorithm used for regression tasks, where the goal is to predict a continuous numerical value?
In the context of data analysis, what is the process of visualizing data to identify patterns and trends called?
Which of the following is a common technique used in machine learning to address the problem of overfitting?
In the context of data analysis, what is the process of identifying outliers in a dataset called?
Which of the following is a common technique used in machine learning to handle missing data in a dataset?
In the context of data analysis, what is the process of transforming data to make it suitable for analysis called?
Which of the following is a common technique used in machine learning to evaluate the performance of a model on a dataset?