ITE303c (MOOC 1, 2, 3 and more :>) - Answers and Explains
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ITE303c (MOOC 1, 2, 3 and more :>) - Answers and Explains
A process or set of rules to be followed in calculations or other problem-solving operations, especially by
a computer describes an
A. set of inputs
B. troubleshooting problem
C. algorithm
D. computer program ️C. algorithm
...
ITE303c (MOOC 1, 2, 3 and more :>) - Answers and Explains
A process or set of rules to be followed in calculations or other problem-solving operations, especially by
a computer describes an
A. set of inputs
B. troubleshooting problem
C. algorithm
D. computer program ✔️C. algorithm
An algorithm is defined as a process or set of rules to be followed in calculations or other problem-
solving operations, especially by a computer
To make this algorithm functional, which step would you add to step 4?
1. Scan to find the smallest number
2. Set to 0 in the index in the output array
3. Remove that number from the input array
4. __________________________________________
A. Divide the array by the index, print the array output
B. Repeat steps 1-3, but subtract the total from the numbers summated
C. Print output in the correct order
D. Repeat steps 1-3, but add 1 to the index number for each loop ✔️D. Repeat steps 1-3, but add 1 to
the index number for each loop
Repeating the steps, but adding 1 to the index number will ensure that the new array will sort the
numbers in the correct order
Take input, get output, use output on next input is an example of a learning algorithm
,A. true
B. false ✔️A. true
This is true, because a learning algorithm is able to use the output's "learnings" on the next input to
improve function performance
Learning algorithms require large datasets, which means storing identifying information about users
A. true
B. false ✔️A. true
This is true. One side effect of learning algorithms is that they require large amounts of data to get
better at what they do. This is usually a negative for users, which end up being victims of having their
data tracked
A _________ _________ in machine learning is the idea that the algorithm itself influences the next set
of inputs that go into the model. The main takeaway is that algorithms sometimes have more influence
than a user's initial input.
A. false dichotomy
B. feedback loop
C. learning algorithm
D. large dataset ✔️B. feedback loop
A feedback loop in machine learning is the idea that the algorithm itself influences the next set of inputs
that go into the model. The main takeaway is that algorithms sometimes have more influence than a
user's initial input.
Are anonymous datasets truly anonymous?
A. No, due to lacking regulations
B. Yes, thanks to machine learning randomness algorithms
,C. Yes, thanks to privacy regulations
D. No, due to combining data and re-identification ✔️D. No, due to combining data and re-
identification
Anonymized datasets assume that the dataset exists in a vacuum, and researchers don't anticipate what
the individual row characteristics will look like when combined with other datasets
Which of the following best describes what an algorithm is?
A. a list of ingredients a computer uses to generate problems to solve
B. a type of computer that calculates problem-solving methods
C. a type of process a human uses to write down what steps need to happen to get a problem solved
D. a recipe that a computer uses to solve problems ✔️D. a recipe that a computer uses to solve
problems
An algorithm is a process or set of rules to be followed in calculations or other problem-solving
operations, especially by a computer.
An algorithm that takes an input, tries 10 different sorting techniques, and uses the best fit on the next
100 inputs is best described as a
A. implicit algorithm
B. learning algorithm
C. data algorithm
D. explicit algorithm ✔️B. learning algorithm
A learning algorithm is one that takes the initial calculation to get better at solving the problem at hand,
applying the data from the learned output to the next set of inputs
Which of these steps follows the most logical order for a low-to-high sorting algorithm?
A.
, 1. Scan to find the largest number
2. Set to 0 in the index in the output array
3. Remove that number from the input array
4. Repeat steps 1-3, but add 1 to the index number for each loop
B.
1. Scan to find the smallest number
2. Set the length of the array in the index in the output array
3. Remove that number from the input
4. Repeat steps 1-3, but add 1 to the index number for each loop
C.
1. Scan to find the smallest number
2. Set to 0 in the index in the output array
3. Remove that number from the input array
4. Repeat steps 1-3, but add 1 to the index number for each loop
D.
1. Scan to find the smallest number
2. Set to 0 in the index in the output array
3. Remove that number from the input array ✔️C.
1. Scan to find the smallest number
2. Set to 0 in the index in the output array
3. Remove that number from the input array
4. Repeat steps 1-3, but add 1 to the index number for each loop
The goal of a sorting algorithm is to find the smallest number each time, identifying it's place in the
output array (0, 1, 2, etc) and removing it from the input array
What's the difference between a basic and learning algorithm?
A. A basic algorithm takes an input, while a learning algorithm takes an input and gets an output
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