1. Which of the following are exampes that use Machine Learning
In car Navigation
Credit Card fraud detection
Bank loan application
All of the options (*)
2. Which of the following is the best definition of Artifical Intelligence
Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour (*)
The science of getting computers to act without being explicitly programmed
Attempt to build machines that look and act like humans
To build computers that are capable of beating all players at chess
3. What does data mean?
Data is information in context
It is the gathering of the figures or facts (*)
It is information that has been processed in a particular format
It is when figures have been processed via machine learning
4. Viewing a summary of all your credit card transactions on a Monday is an example of information?
True (*)
False
5. Information is data in context
True (*)
False
6. Is raw processing power a demonstration of AI?
True
False (*)
7. Rainfall recorded as low, medium, high is an example of
Classification (*)
Regression
8. Regression of data is when
Data can be any numeric value (*)
Data can only be a given discrete value for a list of choices
9. Data shown as a regression can be converted to a classification by grouping it in ranges?
True (*)
False
10. Rainfall recorded as 2,3,0,3,4 is an example of
Classification
Regression (*)
Both Classification and Regression
None of the other options
11. In a loan example "has job is"
(Choose all correct answers)
A label (*)
Dependent data
12. The CRISP model is iterative.
True (*)
False
13. Data Understanding is the first stage of the CRISP model.
True
False (*)
14. Using a methodology such as CRISP decreases the likelihood of random and false discoveries when analyzing data.
True (*)
False
15. As personal computers and devices become more powerful, then the cloud will become irrelevant.
True
False (*)
1. In the CRIP model we cannot move back to a previous stage.
True
False (*)
2. Which one of the following is a model for looking at data via Machine Learning?
CRISP-DM (*)
DM-CRISP
Waterfall Model
Spiral Model
3. Data Understanding is the first stage of the CRISP model.
True
False (*)
4. A 1985 Cray super computer is more powerful than an Apple iPhone 5.
True
False (*)
5. Supervised Learning is
Is when we know the structure of what we are looking for (*)
Is when we do not know the structure of what we are looking for
Is when we can put information in context
Is when we can put data in context
6. Data shown as a regression can be converted to a classification by grouping it in ranges?
True (*)
False
7. Rainfall recorded as 2,3,0,3,4 is an example of
Classification
Regression (*)
Both Classification and Regression
None of the other options
8. Training a program to find faces in a picture is an example of supervised learning
True (*)
False
9. You train your algorithm with test data then test it with training data
True
False (*)
10. Automatic recording of GPS on your phone is an example of data exhaust?
True (*)
False
11. Which of the following is not an example of Machine Learning
Internet Search
Stock trading predictions
Temperature gauge in a car (*)
All of the options
12. The Turing test is
A test on how fast a computer can think.
A test to see whether a computer can imitate a human (*)
A test to see whether a human can imitate a computer
A test to see if a human understands AI.
13. Information can be as simple as presenting data in a different format?
True (*)
False
14. Average results for a class in a quiz is an example of data?
True
False (*)
15. Information is data in context
True (*)
False
2. The single most important thing to know is what should be achieved by using Machine Learning.
True (*)
False
3. We can move onto the next stage of our model without fully knowing the business question we wish to answer.
True
False (*)
4. Can machine learning only be used against one type of task
True
False (*)
5. Which of the following uses machine learning?
Google Searches
Facebook Adds
Netflix Suggestions
All of the options (*)
7. Cloud computing is one of the reasons behind the growth in Machine Learning.
True (*)
False
12. You watch a baseball game without every having seen or read about it and you wish to classify the players based on certain criteria - team, pitcher, fielder etc. This is an example of unsupervised learning.
True (*)
False
13. Having no knowledge of a system that you wish to classify is an example of
Supervised Learning
Unsupervised Learning (*)
Classification
Regression
14. In a loan example "has job is"
(Choose all correct answers)
A label (*)
Dependent data
15. Classification of data is when
Data can be any numeric value
Data can only be a given discrete value for a list of choices (*)
Data can only be categorised with a small subtype of values
Data must be in a small range of values
5. The date and time of a credit card transaction is an example of information?
True
False (*)
7. Viewing the number of visitors to a website from the USA is an example of data
True
False (*)
11. Independent data relys on dependant data.
True
False (*)
14. Supervised Learning is
Is when we know the structure of what we are looking for (*)
Is when we do not know the structure of what we are looking for
Is when we can put information in context
Is when we can put data in context
2. Data normally stored in a table in a spreadsheet is
Structured data (*)
Unstructured Data
Indepedent data
Dependent data
5. Data that can be shown in table format can be described as structured
True (*)
False
7. What is data exhaust?
Is the temporary data that you do not delete on your mobile phone
Is delete data that you are still able to recover
A trail of data that you leave behind you (*)
Is data that you upload to the cloud
8. Machine Learning is
Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour
The science of getting computers to act without being explicitly programmed (*)
Attempt to build machines that look and act like humans
To build computers that are capable of beating all players at chess
11. Requiring to check if someone has a good credit rating is an exampe of which stage?
Business understanding (*)
Data understanding
Data preparation
Modelling
3. Paper based invoices that come into your office from different sources are examples of
Structured data
Unstructured Data (*)
Indepedent data
Dependent data
15. Recording the tempearture every hour is an example of data
True (*)
False
NOTE : Yang mau copas atau repost kunci jawaban ini di persilahkan.asalkan memberikan sumber atau credit kepada website ini karena saya lelah berulang kali retry test sampe pegal coegggg :'( -MoenawarP
Tidak ada komentar:
Posting Komentar