What is Data

The video tutorial discusses the significance of data in machine learning, explaining what data is, its various forms, and how it is organized into data sets. It covers the distinction between dependent and independent variables and emphasizes the importance of data in building effective machine learning models. The tutorial also explains how data sets are split into training and testing sets to evaluate model accuracy, with a common split being 70% for training and 30% for testing.

Why is data considered crucial in machine learning?

• It is essential for building accurate models.

• It is required for hardware development.

• It is used to design user interfaces.

• It helps in creating animations.

Which of the following is NOT a form of data?

• The color of a car

• Symbols written on paper

• Voices recorded by microphones

• Images from cameras

In a data set table, what do the columns represent?

• The total number of data sets

• Particular variables

• The average of all data values

• Individual data entries

What is a dependent variable?

• A variable that does not change

• A variable that influences others

• A variable whose value depends on another

• A variable that is always constant

What is a common split ratio for training and testing data sets in machine learning?

• 60% training and 40% testing

• 50% training and 50% testing

• 70% training and 30% testing

• 80% training and 20% testing