Introduction To Machine Learning

Which of the below is not supervised learning?

• Spam email identification

• House price prediction

• Speech recognition

• Amazon product suggestions

Which of the below is not unsupervised learning?

• Anomaly detection

• Object recognition

• Customer segmentation

• Clustering

Select the true statements

• Machine learning takes input data and static rules to predict the output value

• Traditional programming uses static rules to process input data to produce output

• Traditional programming analyzes input data and comes up with rules and output data

• Machine learning uses knowledge about input data and expected output to learn the rules for modelling data relationships

Machine learning is a subset of artificial intelligence

• True

• False

Select the statements that are true

• Machine learning and deep learning are tools towards achieving intelligent machines

• Deep learning was invented in 1950s

• Deep learning uses layered neuron like architecture inspired by human brain

• Artificial intelligence is superset of Machine learning, while deep learning is a completely different field

Machine learning is one of the steps in any data science project.

• True

• False

In tabular data, what does a row and column represent?

• Row = feature, column = entity

• Column = feature, row = entity

Select approaches for scaling data

• Standardization

• Noise removal

• Normalization

• Data encoding

Let’s say we have an image of size 45x55. It is a grayscale image. How many pixels do we need to represent this image in a numerical format?

• 2045

• 2475

• 2574

• 2745

What is the relationship between model and algorithm?

• Algorithm + model = data

• Algorithm = Model + data

• Model = Algorithm(data)

• Data = Algorithm(model)