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Artificial Intelligence in Daily Life
Paperback
General ComputersGeneral Education
Publisher Price: $49.99
ISBN13: 9789811576973
Publisher: Springer Nature
Published: Aug 22 2021
Pages: 394
Weight: 1.30
Height: 0.86 Width: 6.14 Depth: 9.21
Language: English
Part I - AI Concepts
As the introductory section, this section will discuss the history and basic concepts of AI.
Chap 1 AI and Human Civilization - From Greek Mythology to AI Robotics
Chap 2 AI Fundamentals
2.1 Definition of AI
2.2 A Brief History of AI
2.3 Turing Test and AI
2.4 Strong AI vs Weak AI
2.5 Main components of AI
2.6 Case Study: Does Turing Test Really Work to Test for AI?
Part II - AI Technologies
This section discusses FIVE core AI Technologies which provide the building blocks of various different kind of AI applications, they are: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), Ontology-based Search Engine (OSE).
Chap 3 Machine Learning (ML)
3.1 What is Machine Learning (ML)?
3.2 Supervised Learning (SL)
3.3 Unsupervised Learning (UL)
3.4 Reinforcement Learning (RL)
3.5 Case Study - How can we improve our memory by using Reinforcement Learning?
Chap 4 Data Mining (DM) & Big Data (BD)
4.1 What is Knowledge?
4.2 Data Mining, Big Data and Knowledge Discovery
4.3 Traditional Data Mining Technology
4.4 AI-based Data Mining Technology
4.5 Case Study - How to mine our purchase habit using Data Mining Technology?
Chap 5 Computer Vision (CV)
5.1 Computer Vision vs Human Vision
5.2 3 Levels of Computer Vision - Figure-ground Segmentation, Pattern Recognition, Active Vision
5.3 Active Vision and Robotics
5.4 Computer Vision Technology
5.5 Case Study - How AI-based Facial Recognition System works?
Chap 6 Natural Language Processing (NLP)
6.1 Human Language and Intelligence
6.2 Natural Language Processing in AI
6.3 Speech Recognition and Voice Synthesis
6.4 Machine Translation
6.5 Case Study - English Language Tutoring Robots
Chap 7 Ontological-based Search Engine (OSE)
7.1 Human Knowledge and Ontology
7.2 How Search Engine Works?
7.3 Traditional Search Engine vs. Ontological
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