Podcast
Questions and Answers
What type of data can be expressed using decimals and fractions in supervised machine learning?
What type of data can be expressed using decimals and fractions in supervised machine learning?
- Qualitative data
- Categorical data
- Predictive data
- Quantitative data (correct)
In supervised machine learning, what type of data is counted using whole numbers (integers)?
In supervised machine learning, what type of data is counted using whole numbers (integers)?
- Qualitative data
- Categorical data
- Predictive data
- Quantitative data (correct)
Which type of data in supervised machine learning has an order based on category?
Which type of data in supervised machine learning has an order based on category?
- Quantitative data
- Predictive data
- Qualitative data
- Categorical data (correct)
What distinguishes quantitative data from qualitative data in supervised machine learning?
What distinguishes quantitative data from qualitative data in supervised machine learning?
Which type of data in supervised machine learning is critical to express accurately with decimals and fractions?
Which type of data in supervised machine learning is critical to express accurately with decimals and fractions?
How is supervised machine learning able to predict accurately based on past data?
How is supervised machine learning able to predict accurately based on past data?
What is the slope (weight W) of the line described in the passage?
What is the slope (weight W) of the line described in the passage?
What is the y-intercept (bias B) of the line described in the passage?
What is the y-intercept (bias B) of the line described in the passage?
What is the value of y when x is 10, according to the line equation given in the passage?
What is the value of y when x is 10, according to the line equation given in the passage?
What are the initial guesses for the weight W and bias B in the machine learning approach described?
What are the initial guesses for the weight W and bias B in the machine learning approach described?
What is the purpose of the 'loss' mentioned in the machine learning approach?
What is the purpose of the 'loss' mentioned in the machine learning approach?
What is the key difference between traditional programming and machine learning approaches described in the passage?
What is the key difference between traditional programming and machine learning approaches described in the passage?
What type of output variable is suitable for Classification in supervised learning?
What type of output variable is suitable for Classification in supervised learning?
In mail spam detection, what are some methods used to determine if an email is spam?
In mail spam detection, what are some methods used to determine if an email is spam?
What does Regression in supervised learning focus on?
What does Regression in supervised learning focus on?
Which of the following is an example of a regression use case?
Which of the following is an example of a regression use case?
What type of relationship exists between variables in a regression problem?
What type of relationship exists between variables in a regression problem?
How is the prediction of humidity based on temperature related to regression?
How is the prediction of humidity based on temperature related to regression?
