Statistical Analysis and Machine Learning Technologies

MI – Nov 2022 – L1 – SA – Q19 – Statistical Analysis and Machine Learning Technologies

Identification of key elements in legally acceptable digital evidence presentation

Question

Which of the following is NOT a key element in the presentation of digital evidence that is legally acceptable?
A. Identification
B. Presentation
C. Analysis
D. Investigation
E. Preservation

Answer

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Tags: Analysis, Digital Evidence, Legal Presentation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2022

MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

Question

Physical behavior of systems can be transformed into a mathematical model leading to an efficient algorithm for simulation purposes.

You are required to:
i. Define simulation. (2 Marks)
ii. Enumerate FIVE advantages and THREE disadvantages of simulation. (8 Marks)
iii. Distinguish between continuous simulation and discrete simulation. (3 Marks)

Answer

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Tags: Algorithms, Continuous Simulation, Discrete Simulation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

Question

Over the years, machine learning has become one of the mainstays of Information Technology.

You are required to:
i. Define Machine Learning. (2 Marks)
ii. Enumerate SIX applications of machine learning. (3 Marks)
iii. List FOUR categories/types of machine learning. (2 Marks)

Answer

Find Related Questions by Tags, levels, etc.

Tags: Machine Learning, Simulation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

MI – Nov 2023 – L1 – SA – Q14 – Statistical Analysis and Machine Learning Technologies

Identifying a characteristic that is NOT associated with Big Data.

Question

The following are the characteristics of Big Data, EXCEPT:
A. Large volume
B. Varied type
C. High speed of generation
D. Variability
E. Low storage

Answer

Find Related Questions by Tags, levels, etc.

Tags: Big Data, Data Characteristics, Information Systems
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

MI – Nov 2022 – L1 – SA – Q19 – Statistical Analysis and Machine Learning Technologies

Identification of key elements in legally acceptable digital evidence presentation

Question

Which of the following is NOT a key element in the presentation of digital evidence that is legally acceptable?
A. Identification
B. Presentation
C. Analysis
D. Investigation
E. Preservation

Answer

Find Related Questions by Tags, levels, etc.

Tags: Analysis, Digital Evidence, Legal Presentation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2022

MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

Question

Physical behavior of systems can be transformed into a mathematical model leading to an efficient algorithm for simulation purposes.

Answer

Find Related Questions by Tags, levels, etc.

Tags: Algorithms, Continuous Simulation, Discrete Simulation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

Question

Over the years, machine learning has become one of the mainstays of Information Technology.

You are required to:
i. Define Machine Learning. (2 Marks)
ii. Enumerate SIX applications of machine learning. (3 Marks)
iii. List FOUR categories/types of machine learning. (2 Marks)

Answer

Find Related Questions by Tags, levels, etc.

Tags: Machine Learning, Simulation
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

MI – Nov 2023 – L1 – SA – Q14 – Statistical Analysis and Machine Learning Technologies

Identifying a characteristic that is NOT associated with Big Data.

Question

The following are the characteristics of Big Data, EXCEPT:
A. Large volume
B. Varied type
C. High speed of generation
D. Variability
E. Low storage

Answer

Find Related Questions by Tags, levels, etc.

Tags: Big Data, Data Characteristics, Information Systems
Level: Level 1

Topic: Statistical Analysis and Machine Learning Technologies
Series: NOV 2023

Topic: Statistical Analysis and Machine Learning Technologies

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MI – Nov 2022 – L1 – SA – Q19 – Statistical Analysis and Machine Learning Technologies

Identification of key elements in legally acceptable digital evidence presentation

MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

MI – Nov 2023 – L1 – SA – Q14 – Statistical Analysis and Machine Learning Technologies

Identifying a characteristic that is NOT associated with Big Data.

MI – Nov 2022 – L1 – SA – Q19 – Statistical Analysis and Machine Learning Technologies

Identification of key elements in legally acceptable digital evidence presentation

MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

MI – Nov 2023 – L1 – SA – Q14 – Statistical Analysis and Machine Learning Technologies

Identifying a characteristic that is NOT associated with Big Data.

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Identification of key elements in legally acceptable digital evidence presentation

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MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

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MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

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Identifying a characteristic that is NOT associated with Big Data.

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MI – Nov 2022 – L1 – SA – Q19 – Statistical Analysis and Machine Learning Technologies

Identification of key elements in legally acceptable digital evidence presentation

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MI – Nov 2023 – L1 – SB – Q6b – Statistical Analysis and Machine Learning Technologies

explain advantages and disadvantages of simulation

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MI – Nov 2023 – L1 – SB – Q6a – Statistical Analysis and Machine Learning Technologies

define machine learning and simulation, list types and applications of machine learning

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MI – Nov 2023 – L1 – SA – Q14 – Statistical Analysis and Machine Learning Technologies

Identifying a characteristic that is NOT associated with Big Data.

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