Introduction to Artificial Intelligence (AI) and Real Cases from Industries(人工智慧介紹與實務案例)

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1 學生

課程介紹
Introduction
Welcome to World of AI…
In this 30 hours Al course you will learn what Artificial Intelligence (AI) is, explore use real cases and plenty of applications on Al, understand AI concepts and terms like machine learning, deep learning and data science. You will be exposed to various issues and concerns surrounding variety industries such as Manufacturing, Medical, Financial and Agriculture…etc.You will get advice from experts about learning and understanding to apply your business in AI. We advices all of registers demonstrate Al in action with a mini project by the end of course. This course does not require any programming or computer science expertise and is designed to introduce the basics of Al to anyone whether you have a technical background or not.
授課教師
Instructor
  • Che-Wei Lin  Assistant Professor.

National Cheng Kung University

  • Johnson Yang Digital Transformation Director.

Chinese ASIA Pacific AIOT Development Association

  • Chai Kou-Hsing Analyst of Digital Agriculture.

Agricultural Technology Research Institute Data

  • Jon Huang Founder and CEO.

Open AI Fab

  • Yu Jen Ta Director.

Premium Health Exam Center of Tung’s MetroHarbor Hospital

  •  Yun-Nung Chen Assistant Professor.

Dept. of Computer Science and Information Engineering National Taiwan University

  •  Yen-Hung Chen Assisted Professor.

Dept. of Information Management, National Taipei University of Nursing and Health Science

授課語言
Language
English
授課方式
Operation
online+Livestream
製作單位
Creators
DIGI+Talent Academy
課程時數
Course hours
32hr

 

課程大綱

1. 9/14 10:20am-12:10pm[Livestream] : Course Briefing and Introduction
PPT Download 00:00:00
2. 9/21 [online] : The age of AI :example of using artificial intelligence to fight the 2019-nCov
PPT Download 00:00:00
Video:The age of AI :example of using artificial intelligence to fight the 2019-nCov 00:00:00
3. 9/28 [online] : Introduction to AI fundamentals and real-world examples
PPT Download 00:00:00
3-1 Introduction to AI Fundamentals and Real-world Examples 00:00:00
3-2 What is Deep Learning? 00:00:00
3-3 Special Report: Artificial Intelligence Apps Come of Age 00:00:00
3-4 AI for Industrial Innovation 00:00:00
4. 10/5 [online] : Introduction of Machine & Deep Learning
PPT Download 00:00:00
4-1 What is Machine & Deep Learning 00:00:00
4-2 The Category of Machine & Deep Learning (GAN & Transfer Learning) 00:00:00
4-3 Supervised & Unsupervised & Reinforcement Learning (RL) Learning 00:00:00
4-4 The Funny Examples & Continuous Study 00:00:00
5. 10/12 [online] : Using Digital Tool to Promote Agricultural Business
PPT Download 00:00:00
5-1 Using Big Data with No Coding Skills 00:00:00
5-2 Industrial Analysis for AG Data 00:00:00
5-3 Examples in Taiwan 00:00:00
6. 10/19 [online] : Principles of Data Science
PPT Download 00:00:00
6-1 Data Science Process 00:00:00
6-2 Data Preparation 00:00:00
6-3 Data Modeling – Supervised / Decision Tree / SVM 00:00:00
6-4 Data Modeling – Unsupervised / RNN / LSTM 00:00:00
7. 10/26 10:20am-12:10pm[Livestream] : AI & Data Science Hands-on Practice
8. 11/2 10:20am-12:10pm[Livestream] : AI & Data Science Hands-on Practice & QA
9. 11/09 [online] : Midterm Exam-online test
10. 11/16 [online] : Implementing a Hospital-Scale AI System - A Deep Walkthrough
PPT Download 00:00:00
10-1Health Exam Report System & ICD Coding System 00:00:00
10-2 X-ray Lung Tumor Detection 00:00:00
10-3 Infrastructure and Labeling & Modeling and Training Techniques 00:00:00
10-4 Hardware Choices 00:00:00
11. 11/23 [online] : The overview of Convolutional Neural Networks: when/how it works.
PPT Download 00:00:00
11-1 Opening: Synchronize the Idea of AI 00:00:00
11-2 Detailed Operation of CNN 00:00:00
11-3 Extended Models-Ensemble Learning 00:00:00
11-4 CNN Cases 00:00:00
12. 11/30 [online] : NLP: Trends & Overview
PPT Download 00:00:00
12-1 Introduction to Conversational AI & Goal-Oriented Dialogue Systems 00:00:00
12-2 Evolution Trend 00:00:00
12-3 More Applications 00:00:00
13. 12/07 [online] : NLP: Principles
PPT Download 00:00:00
13-1 Word Representation Basics 00:00:00
13-2 Word Embeddings 00:00:00
13-3 Language Modeling 00:00:00
13-4 Contextualized Word Embeddings 00:00:00
14. 12/14 10:20am-12:10pm[Livestream] : Computer Vision & NLP Hands-on Practice
15. 12/21 10:20am-12:10pm[Livestream] : Computer Vision & NLP Hands-on Practice & QA
16. 12/28 10:20am-12:10pm[Livestram] : Sharing & Feedback

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  • 16 章節
  • 41 單元
  • 32 小時

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