Question 4 (10 marks) 300-500 words per discussion and avoid plagiarism. Download two scientific peer reviewed and published paper and discuss how the markov chain has been applied in Al and the significance of the results.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Question 3 (20 marks) 300-500 words per discussion and avoid plagiarism.
An artificial intelligence system was design to forecast the financial trading market and
predict change based on observed variables from the business environment. A machine
learning model is to be designed in understand and forecast trends based on Markov chain.
The variables to be observed are
Population(A)
Poverty rate(B)
Inflation (C)
Available resources(D)
Theses variables can affect each other or impact upon one another.
[P11 P1.2
P21 P22
Pij
P2.j
P1S
P2.s
P =
Pi1
Pij
Ps.1
Ps.2
Psj
Ps.s.
The matix P represent the general form of an state matrix.
Below is a table of the variables with their effect on each other.
A
В
C
D
A
0.1
0.1
0.1
0.7
B
0.2
0.3
0.2
0.3
0.3
0.4
0.1
0.2
0.4
0.2
0.2
0.2
Answer the following question below:
Provide a general markov state diagram for the variable described.
b. Assuming the below factor, A, affected the state in the table above, produce the state
a.
diagram for, A, and calculate the final state.
.25 20 .25 .30
.20 .30 .25 .30
A =
.25 20 .40 .10
30 .30
.10 .30
С.
Discuss the significance of hidden markov chain in a historic data.
Question 4 (10 marks) 300-500 words per discussion and avoid plagiarism.
Download two scientific peer reviewed and published paper and discuss how the markov
chain has been applied in Al and the significance of the results.
W
DO
Tools
Mobile View
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PDF to DOC
Transcribed Image Text:2:57 PM O E Y ♡ 43 Edit 88 33 Question 3 (20 marks) 300-500 words per discussion and avoid plagiarism. An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are Population(A) Poverty rate(B) Inflation (C) Available resources(D) Theses variables can affect each other or impact upon one another. [P11 P1.2 P21 P22 Pij P2.j P1S P2.s P = Pi1 Pij Ps.1 Ps.2 Psj Ps.s. The matix P represent the general form of an state matrix. Below is a table of the variables with their effect on each other. A В C D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 0.3 0.4 0.1 0.2 0.4 0.2 0.2 0.2 Answer the following question below: Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state a. diagram for, A, and calculate the final state. .25 20 .25 .30 .20 .30 .25 .30 A = .25 20 .40 .10 30 .30 .10 .30 С. Discuss the significance of hidden markov chain in a historic data. Question 4 (10 marks) 300-500 words per discussion and avoid plagiarism. Download two scientific peer reviewed and published paper and discuss how the markov chain has been applied in Al and the significance of the results. W DO Tools Mobile View Share PDF to DOC
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