WorksheetsPSI: 5 Intro ML + RL
Total questions: 6
Worksheet time: 2mins
Name
Class
Date
1.
Some types of algorithms used for ML are:
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
ALL the OTHERS !
2.
A Decision Tree Model:
a)
is a predictive model which maps observations to decisions/conclusions
b)
is a logic-based system for modelling tree structure systems
c)
enable trees to take decisions (inspired by the Lord of the Rings)
d)
NONE of the OTHERS !
3.
The ML technique for solving new problems based on solutions to past similar problems is known as:
a)
Clustering
b)
Support Vector Machines
c)
Case-based Reasoning
d)
None of the others
4.
A ML technique to take actions to maximize the notion of cumulative reward is know as
a)
Support Vector Machines
b)
Artificial Neural Networks
c)
Decision Trees
d)
Reinforcement-Learning
5.
On a Markov Model, the next state (s’) depends on:
a)
The previous states the decission maker has passed by
b)
The previous actions the decission maker has taken
c)
The mood of the decission maker
d)
The current state (s) and the action (a) taken by the decission maker
6.
The Epsilon-greedy method refers to:
a)
Exploit an epsilon percent of the time and explore the rest
b)
Explore an epsilon percent of the time and exploit the rest
c)
The discount factor used in the Bellman equation
d)
The learning rate used in the Q-learning function
100 %
