Module 8: Machine Learning

What is the purpose of machine learning?

• To produce a motion by converting energy and signals going into the system.

• To detect and respond to some type of input from the physical environment.

• To problem solve.

• To uncover patterns and relationships between those data sets and possibly make predictions or classifications

Iteration means:

• mutual or reciprocal action or influence

• the act or process of intersecting

• (of two people or things) influencing or having an effect on each other

• the repetition of a process or utterance

Which is not a supervised type of machine learning?

• Clustering

• Decision Tree

• Bayesian Network

• Support Vector Machine (SVM)

Which of the following is not a place where Artificial Intelligence (AI) can currently be found?Online shopping site

• Online shopping site

• Judge in a courtroom

• Autonomous car

• Movie or music streaming service

What is a difference between trained machine learning and untrained machine learning?

• input

• output

• ability to learn

• starting point (labeling)

Artificial Neural Networks (ANN) were inspired by what?

• The human brain

• Fishermen's nets

• Cube

• Close-out

Model used to find matches between known samples and new data:

• Support Vector Machine (SVM)

• Artificial Neural Networks (ANN)

• K Means Clustering

• Hidden Markov Model (HMM)

Which model is used when a series or sequence of observations over time needs to be analyzed?

• Artificial Neural Networks (ANN)

• K Means Clustering

• Support Vector Machine (SVM)

• Hidden Markov Model (HMM)

Which model uses (1) an input layer, (2) hidden layers, and (3) an output layer?

• Hidden Markov Model (HMM)

• K Means Clustering

• Support Vector Machine (SVM)

• Artificial Neural Networks (ANN)

This model is used in marketing and genetic testing

• Support Vector Machine (SVM)

• K Means Clustering

• Hidden Markov Model (HMM)

• Artificial Neural Networks (ANN)