Introduction to Machine Learning

Machine learning is a subset of artificial intelligence

• True

• False

 

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

• True

• False

Which of the below is not supervised learning?

• Spam email identification

• House price prediction

• Clustering customers into different groups of similarity

Which of the below is not unsupervised learning?

• Fraud detection

• Customer segmentation

• Face recognition

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

• Row = feature, column = entity

• Column = feature, row = entity

In which cases, machine learning is NOT useful?

• A bank wants to call to sell bond to top 10 percent customers

• A bank wants find potential customers to offer lending but has no data about past interaction

• A bank want to segment customers into different groups to serve them better

• A bank wants to display credit card banner to all digital app users

Which is NOT a part of a data science project?

• Define business problem

• Scrap data that is needed

• Take care of customers to get their best feedbacks

• Train the model

• Generate leads of potential customers for business

There are four components in a customer life cycle:

acquisition, centralisation,______, engagement

How many pillars are usually applied to design ML project lifecycle?

To predict which customers are more likely to purchase BANCA, a machine learning needs historical data of customers who:

• bought banca

• declined to buy banca

• both bought banca and who declined to buy banca

• all customers of TCB