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WorksheetsIntroduction to Machine Learning
Total questions: 12
Worksheet time: 12mins
Machine learning is ___ field
Inter-disciplinary
Single
Multi-disciplinary
All of the Above
A computer program is said to learn from __________ E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with E.
Training
Experience
Database
Algorithm
__________ has been used to train vehicles to steer correctly and autonomously on road.
Machine Learning
Data mining
Neural Networks
Robotics
Any hypothesis find an approximation of the target function over a sufficiently large set of training examples will also approximate the target function well over other unobserved examples. This is called _____.
Hypothesis
Inductive hypothesis
Learning
Concept learning
Factors which affect performance of a learner system does not include
Representation scheme used
Training scenario
Type of feedback
Good data structures
Different learning methods does not include
Memorization
Analogy
Deduction
Introduction
A model of language consists of the categories which does not include
Language units
Role structure of units
System constraints
Structural units
How many types are available in machine learning?
1
2
3
4
The k-means algorithm is a
Supervised learning algorithm
Unsupervised learning algorithm
Semi-supervised learning algorithm
Weakly supervised learning algorithm
The Q-learning algorithm is a
Supervised learning algorithm
Unsupervised learning algorithm
Semi-supervised learning algorithm
Reinforcement learning algorithm
This type of learning to be used when there is no idea about the class or label of a particular data
Supervised learning algorithm
Unsupervised learning algorithm
Semi-supervised learning algorithm
Reinforcement learning algorithm
The model learns and updates itself through reward/punishment in case of
Supervised learning algorithm
Unsupervised learning algorithm
Semi-supervised learning algorithm
Reinforcement learning algorithm
