Season 1 #Spaic ML Azure Weekly Quiz

Machine learning

• Is a data science technique.

• Takes Rules and data as input.

• Is a subcategory of deep learning.

• Used to extract insight from data.

Do we need to retrain the model , when the input data change?

• Yes

• No

What is the common type of data in ML ?

• Numeric data

• Time-series data

• Categorical data

• Text data

• Image date

What is the technique used to process numerical data for Machine learning algorithm?

• Standardization

• One hot encoding

• Normalization

• Ordinal encoding

The following formula is associated to which ML perspective : Output=Program (input)

• Computer science

• Statistical

Jupyter Notebook is :

• Libraries

• Development environments

• Cloud service

What is the different category of ML algorithm

• Parametric algorithm

• Regression

• Classification

• Non-Parametric algorithm

Bias : measure how the prediction is inaccurate in comparison with the output

• True

• False

Variance : measure how the target function will change if we use different parameter

• True

• False

The optimal model complexity is where bias error crosses with the variance error

• True

• False