APT3010 INTRODUCTION TO ARTIFICIAL INTELLIGENCE FINAL EXAM REVIEW QUESTIONS WITH 100% COMPLETE SOLUTIONS; GUARANTEED TO PASS, 100% SOLVED
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Artificial Intelligence
This section is the practice questions for ARTIFICIAL INTELLIGENCE that can help you think critically and augment your review for the ARTIFICIAL INTELLIGENCE exams.
APT3010 INTRO TO AI FINEL EXAM QUIZZES WITH CORRECT ANSWERS; 100% SOLVED, LATEST STUDY EXAM FOR AI WITH THE BEST SOLUTIONS EVER
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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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