ACS341 - Machine Learning || All Answers are Flawless.
What is machine learning? correct answers Machine learning is the field of study that gives
computers the ability to learn without bring explicitly programmed
Fill in the gaps?
A computer program is said to learn from an ............. with respect to some ....... and
some ............... ........., if its performace on T, as a measured by P, improves with .............. E.
correct answers A computer program is said to learn from an 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.
Describe the traditional approach to AI? correct answers Typically uses a list of hand written
logical rules
Works well if the domain is simple and well understood
Makes extensive use of the domain knowledge of the designer
Describe the machine learning approach? correct answers Typically results in models (e.g
mathematical) of the domain
Due to extensive training time it provides better value if the domain is complex, not well
understood and has lots of data
Machine Learning lets the data speak for itself in generating domain models. This is useful
where the rules of the domain are not very clearly defined
What are the four fundamental components of machine learning? correct answers Assumption ->
What we think the world look like or works
, Model -> A way of expressing the thought (mathematically)
Inference paradigm -> A framework for matching the model to the world
Inference engine -> A way of doing the matching
What is an inference paradigm? correct answers A framework for matching the model to the
world
What is supervised learning? Give examples of model types? correct answers You give a
machine learning algorithm a bunch of examples with associated labels.
Classification, regression
What is classification and what is regression? correct answers Classification: Using the learnt
labels, it is able to classify new instances
Regression: Developing a model that predicts the value of an item e.g house.
What is unsupervised learning and give example of a model? correct answers The dataset is
unlabelled and the algorithm attempts to learn without a teacher
Clustering: In theory, data points that are in the same group should have similar properties and/or
features, while data points in different groups should have highly dissimilar properties and/or
features. (A similarity measure is used)
What is semi-supervised learning? correct answers Semi-supervised learning is a class of
machine learning technique that falls between unsupervised learning (without any labeled
training data) and supervised learning (with completely labeled training data).
What is machine learning? correct answers Machine learning is the field of study that gives
computers the ability to learn without bring explicitly programmed
Fill in the gaps?
A computer program is said to learn from an ............. with respect to some ....... and
some ............... ........., if its performace on T, as a measured by P, improves with .............. E.
correct answers A computer program is said to learn from an 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.
Describe the traditional approach to AI? correct answers Typically uses a list of hand written
logical rules
Works well if the domain is simple and well understood
Makes extensive use of the domain knowledge of the designer
Describe the machine learning approach? correct answers Typically results in models (e.g
mathematical) of the domain
Due to extensive training time it provides better value if the domain is complex, not well
understood and has lots of data
Machine Learning lets the data speak for itself in generating domain models. This is useful
where the rules of the domain are not very clearly defined
What are the four fundamental components of machine learning? correct answers Assumption ->
What we think the world look like or works
, Model -> A way of expressing the thought (mathematically)
Inference paradigm -> A framework for matching the model to the world
Inference engine -> A way of doing the matching
What is an inference paradigm? correct answers A framework for matching the model to the
world
What is supervised learning? Give examples of model types? correct answers You give a
machine learning algorithm a bunch of examples with associated labels.
Classification, regression
What is classification and what is regression? correct answers Classification: Using the learnt
labels, it is able to classify new instances
Regression: Developing a model that predicts the value of an item e.g house.
What is unsupervised learning and give example of a model? correct answers The dataset is
unlabelled and the algorithm attempts to learn without a teacher
Clustering: In theory, data points that are in the same group should have similar properties and/or
features, while data points in different groups should have highly dissimilar properties and/or
features. (A similarity measure is used)
What is semi-supervised learning? correct answers Semi-supervised learning is a class of
machine learning technique that falls between unsupervised learning (without any labeled
training data) and supervised learning (with completely labeled training data).
