WorksheetsMachine Learning Overview
Total questions: 11
Worksheet time: 9mins
Applications of Machine Learning (Select all that apply).
Image processing
Speech recognition
Predicting weather
Surfing on website
A program is said to learn from its _____(E) with respect to some ____(T) and _____ measure(P), if its P at T improves with E.
What is E, T and P?
Experience, Target, Performance
Explaination, Target, Performance
Experience, Task, Performance
Explaination, Task, Poll
"A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E."
Suppose your email program watches which emails you do or do not mark as spam, and based on that learns how to better filter spam. What is the task T in this setting?
Classify emails as spam or not spam.
Watching you label emails as spam or not spam.
The number (or fraction) of emails correctly classified as spam/not spam.
None of the above, this is not a machine learning algorithm.
What type of ML algorithm will you choose when you have set of input data and you know the possible responses?
Supervised learning
Unsupervised learning
Deep learning
Neural network
ML is sub-set of AI. True or false.
True
False
What category of machine learning algorithm finds patterns in the data when the data is not labeled?
Supervised learning
Unsupervised learning
Data Prophecy
Reinforcement learning
Predicting housing prices in coming 2 years based on area per sq.km and last 5 years prices.
Identify above suits for which algorithm?
Linear regression
Decision tree
K-Means
Support vector Machine
Identify dependent variable in above problem.
Typing speed
Weeks of practice
Words per minute
Which of the following is true about reinforcement learning?
The agent gets rewards or penalty according to the action
It’s an online learning
The target of an agent is to maximize the rewards
All of the above
In self driven automated car, what is an agent and environment?
agent: Other vehicles
environment: road
agent: Car
environment: passengers sitting in a car
agent: Car
environment: road and surrounding vehicles
agent: passengers sitting in a car
environment: road and surrounding vehicles
____occurs when our machine learning model is not able to capture the underlying trend of the data and performs poorly over test and train set.
Overfitting
Underfitting
