Introduction to machine learning Exam Questions
with Answers
1. machine learning correct answer: field of artificial intelligence concerned with algorithms
that can learn from data
2. what are closely related to machine learning? correct
answer: computational statistics data mining
pattern recognition
statistical learning
3. what tools machine learning provides? correct answer: tools for extracting
knowledge out of the data in form of a amodel
4. What are the two main branches of machine learning? correct
answer: unsupervised learning supervised learning
5. what new capabilities machine learning can provide to computers?
correct answer: Data mining correct answer: extracting new information from
medical records, maintenance records, etc.
Self-customizing programs correct answer: Web browser that learns what you like and seeks it out
Applications one can not program by hand correct answer: For example, speech recognition,
autonomous driving
6. essence of machine learning correct answer: 1. pattern exists
2. we cant pin it down mathematically
3. we have data on it
7. unsupervised machine learning correct answer: methods for exploratory data analysis
correct answer: discover interesting patterns in data
dimensionality reduction, clustering, associations, deviation analysis
8. in which phases of data analysis process unsupervised learning is
applicable?-
correct answer: data understanding correct answer: visualize data, check assumptions
data preparation correct answer: preprocessing before analysis, for example PCA for dimensionality
reduction
1/
5
, modeling correct answer: sometimes the main analysis is also carried out with unsupervised methods,
for example clustering customers to the ditterent groups
9. supervised learning correct answer: data correct answer: establishing
input, correct output pairs (features, labels) features correct answer: real
valued or categorical
2/
5
with Answers
1. machine learning correct answer: field of artificial intelligence concerned with algorithms
that can learn from data
2. what are closely related to machine learning? correct
answer: computational statistics data mining
pattern recognition
statistical learning
3. what tools machine learning provides? correct answer: tools for extracting
knowledge out of the data in form of a amodel
4. What are the two main branches of machine learning? correct
answer: unsupervised learning supervised learning
5. what new capabilities machine learning can provide to computers?
correct answer: Data mining correct answer: extracting new information from
medical records, maintenance records, etc.
Self-customizing programs correct answer: Web browser that learns what you like and seeks it out
Applications one can not program by hand correct answer: For example, speech recognition,
autonomous driving
6. essence of machine learning correct answer: 1. pattern exists
2. we cant pin it down mathematically
3. we have data on it
7. unsupervised machine learning correct answer: methods for exploratory data analysis
correct answer: discover interesting patterns in data
dimensionality reduction, clustering, associations, deviation analysis
8. in which phases of data analysis process unsupervised learning is
applicable?-
correct answer: data understanding correct answer: visualize data, check assumptions
data preparation correct answer: preprocessing before analysis, for example PCA for dimensionality
reduction
1/
5
, modeling correct answer: sometimes the main analysis is also carried out with unsupervised methods,
for example clustering customers to the ditterent groups
9. supervised learning correct answer: data correct answer: establishing
input, correct output pairs (features, labels) features correct answer: real
valued or categorical
2/
5
