COSC-E4 CS Elective 4 (Machine Learning) - Lesson 1: Introduction to Machine Learning

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What is the main goal of model evaluation in machine learning?

To clean the data

To collect data from various sources

To assess the efficacy of a model (correct)

To visualize data relationships

Which step involves wrangling data and preparing it for training in the machine learning process?

Train the Model

Data Preparation (correct)

Choose a Model

Data Collection

Why is it important to randomize data during the data preparation phase?

To handle missing normalization

To remove the effects of the order of data collection (correct)

To visualize data relationships

To detect relevant relationships between variables

What is the primary goal of training a machine learning model?

To answer questions or make predictions accurately Signup and view all the answers

Which step involves selecting algorithms based on specific tasks in machine learning?

Choose a Model Signup and view all the answers

What role does the quantity and quality of data play in model accuracy?

Directly dictates how accurate the model is Signup and view all the answers

What is a key component of Machine Learning models?

Predictions Signup and view all the answers

What is a feature in the context of Machine Learning?

A characteristic or attribute used as an input to a model Signup and view all the answers

What is a feature vector in Machine Learning?

A vector containing the values of all features for a single instance Signup and view all the answers

What is the purpose of training in Machine Learning?

To optimize the model's parameters for better predictions Signup and view all the answers

Which of the following is NOT a common step in the Machine Learning process?

Hardware configuration Signup and view all the answers

What is the primary goal of Machine Learning?

To automate the process of learning from data Signup and view all the answers

What is the purpose of the 'Evaluate the Model' step in the Machine Learning process?

To assess the model's performance on previously unseen data Signup and view all the answers

In the linear regression example, what does the variable 'm' (or 'W') represent?

The slope or weight coefficient of the linear equation Signup and view all the answers

What is a common ratio for splitting the data into training and evaluation sets?

70/30 or 80/20 Signup and view all the answers

What is a 'feature vector' in the context of Machine Learning?

A set of input variables used to make predictions Signup and view all the answers

What is the purpose of the 'training step' in the Machine Learning process?

To update the model's parameters based on the training data Signup and view all the answers

In the linear regression example, what does the variable 'b' represent?

The bias term or intercept of the linear equation Signup and view all the answers