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APT3010 INTRODUCTION TO ARTIFICIAL INTELLIGENCE FINAL EXAM REVIEW QUESTIONS WITH 100% COMPLETE SOLUTIONS; GUARANTEED TO PASS, 100% SOLVED R252,35
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APT3010 INTRODUCTION TO ARTIFICIAL INTELLIGENCE FINAL EXAM REVIEW QUESTIONS WITH 100% COMPLETE SOLUTIONS; GUARANTEED TO PASS, 100% SOLVED

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This section is the practice questions for ARTIFICIAL INTELLIGENCE that can help you think critically and augment your review for the ARTIFICIAL INTELLIGENCE exams.

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  • December 15, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • APT
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APT3010 INTRODUCTION TO
ARTIFICIAL INTELLIGENCE FINAL
EXAM REVIEW QUESTIONS 100%
SOLVED

What is the relationship of AI, ML, and DL - Deep Learning (DL) is subset of Machine
Learning (ML) is subset of Artificial Intelligence (AI)

What is Artificial Intelligence - Technique that enables computers to mimic human
activities

It deals with simulation of intelligent behavior and mimics cognitive functions of human -
Artificial Intelligence

It learn patterns as it is exposed to more data over time. - Machine Learning

What are the examples of Machine Learning - Emails (spam or not)

These are attributes of the data to come into an outcome, used for predictions -
Features

Column to be predicted - Target

Two main types of ML and its definition. - Supervised Learning =
has target column
; make predictions; Example is Fraud Detection

Unsupervised = no target column; finds structure in the data. Example is customer
segmentation

ML is limited to identifying a target with same color. - True

It is the computation of multilayer neural networks feasible. - Deep Learning

Deep Learning combines steps in Machine Learning into a complex neural network. -
True

Enables machine to think like people and make it intelligent - Artificial Intelligence

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