Informações sobre o curso

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Resultados de carreira do aprendiz

60%

consegui um benefício significativo de carreira com este curso

20%

recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 18 horas para completar
Chinês (tradicional)
Legendas: Chinês (tradicional)

Habilidades que você terá

Artificial Intelligence (AI)Search AlgorithmA.I. Artificial IntelligenceAlgorithms

Resultados de carreira do aprendiz

60%

consegui um benefício significativo de carreira com este curso

20%

recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 18 horas para completar
Chinês (tradicional)
Legendas: Chinês (tradicional)

oferecido por

Logotipo de Universidade Nacional de Taiwan

Universidade Nacional de Taiwan

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

2 horas para concluir

Introduction

2 horas para concluir
9 vídeos (Total 118 mín.), 1 leitura
9 videos
1-2 What is AI16min
1-3 Agents and Environments, PEAS, Environment Type19min
1-4 Different Level Of AI5min
1-5 Wave of AI:Debut, Knowledge Driven, Data Driven6min
1-6 The Classification of Agent, First Wave of AI (Artificial Neural Network)24min
1-7 Second Wave of AI (Expert System)12min
1-8 Third Wave of AI (Some Theory and Principle of Machine Learning)21min
1-9 Conclusion of AI and Machine Learning7min
1 leituras
NTU MOOC 課程問題詢問與回報機制1min
Semana
2

Semana 2

2 horas para concluir

Uninformed search

2 horas para concluir
6 vídeos (Total 102 mín.)
6 videos
2-2 Problem Formulation (ii) - Abstraction18min
2-3 Search on Tree and Graph21min
2-4 Uninformed Search (i) - Breadth-First Search, Uniform-Cost Search18min
2-5 Uninformed Search (ii) - Depth-First Search, Depth-Limited Search, Iterative-Deepening Search14min
2-6 Uninformed Search (iii) - Iterative-Deepening Search, Bidirectional Search15min
1 exercício prático
Week 218min
Semana
3

Semana 3

2 horas para concluir

Informed search

2 horas para concluir
6 vídeos (Total 108 mín.)
6 videos
3-2 Best-First Search (ii) - A* Search16min
3-3 Best-First Search (iii) - Optimality of A*18min
3-4 Memory Bounded Search (i) - Iterative Deepening A*, RBFS21min
3-5 Memory Bounded Search (ii) - RBFS, Simplified Memory-bounded A*20min
3-6 Heuristic - Preformance, Generating Heuristics15min
1 exercício prático
Week 320min
Semana
4

Semana 4

2 horas para concluir

Non-classic search

2 horas para concluir
7 vídeos (Total 119 mín.)
7 videos
4-2 Steepest Descent19min
4-3 Simulated Annealing13min
4-4 Evolutionary Computation19min
4-5 Non-deterministic Actions - AND-OR Search, Partial Observations (i) - Sensor-less18min
4-6 Partial Observations (ii) - With Sensors11min
4-7 Partial Observations (iii) - Unknown Environments23min
1 exercício prático
Week 416min

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