Machine Learning Lab 1

What are the three types of Machine Learning?

• Classification, Clustering, Reinforcement

• Supervised, Unsupervised, Reinforcement

• Classification, Regression, Clustering

• Supervised, Regression, Clustering

Regression is supervised learning

• True

• False

Classification algorithms require data with positive and negative labels

• True

• False

Dimensionality reduction is reinforcement learning problem

• True

• False

Clustering is unsupervised learning problem

• True

• False

We can use a supervised learning algorithm for image classification

• True

• False

Which answers is correct? Supervised learning algorithms ...

• Require data with multiple features

• Reqire data to be classified in few classes

• Cluster similar data into groups

• Require labled data

Which one is an examples of classification?

• A

• B

• C

• D

Which is closer to how a basic linear classifier splits the data?

• 
• 

Witch is the decision boundary of the model (w = [ 1 -2 ], t = 2)

• Blue

• Green

• Orange

• Red