ML and DS Landscape

The problem of finding hidden structure in unlabeled data is called...

• Supervised learning
• Reinforcement learning
• Unsupervised learning

Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of

• Supervised learning
• Reinforcement learning
• Unsupervised learning

You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of...

• Supervised learning
• Reinforcement learning
• Unsupervised learning

Assume you want to perform supervised learning and to predict number of newborns according to size of storks' population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of ...

• Classification
• Regression
• Clustering

Discriminating between spam and ham e-mails is a classification task, true or false?

• true
• false

In the example of predicting number of babies based on storks' population size, number of babies is...

• outcome
• feature
• attribute

Classification is

• A subdivision of a set of examples into a number of classes 
• A measure of the accuracy, of the classification of a concept that is given by a certain theory 
• The task of assigning a classification to a set of examples 

Binary attribute are

• This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit 
• Systems that can be used without knowledge of internal operations 
• The natural environment of a certain species 

Cluster is 

• Group of similar objects that differ significantly from other objects 
• Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm 
• Symbolic representation of facts or ideas from which information can potentially be extracted 

Which of the following are the properties of entities? 

• Groups 
• Table 
• Attributes