台北市电脑公会课程 AI人工智能实务特训班

  • 2018-05-14
  • SystemAdmin
  • 时间：2018/5/26~5/27
  • 地点：台北市八德路三段2号(台北市电脑公会推广中心)
  • 说明：现今金融、制造、医疗、服务业等企业资料量爆增，运用人工智能技术可提供企业有效从大数据中萃取有价值的资讯并作帮助企业决策。人工智能可用于解决许多商业问题，如商业情报分析、市场研究、市场营销、金融保险等。本课程将从人工智能原理出发，包括产业应用案例与互动谘询。本课程结合Python语言、TensorFlow操作与案例实作练习……
  • Time：2018/5/26~5/27
  • Venue：Continuing Education Center, Taipei Computer Association, N0. 2, Sec. 3, Bade Rd., Taipei
  • About ：In this information booming age, applying AI technology provides corpora-tions with valuable information by effectively using big data, and facilitates strategic decision making. AI can be the solution to many commercial ar-eas such as information analysis, market research, marketing, finance and insurance. The course starts with the principles of AI, and also in-cludes practical industry cases and consultation; Python, TensorFlow, and case study are included…
系列课程
人工智能特训班
Practical AI Training Courses

时间：2018/5/26（六）、2018/5/27（日），共两日
地点：台北市八德路三段2号（台北市电脑公会推广中心）

Time：2018/5/26~5/27
Venue：Continuing Education Center, Taipei Computer Association, N0. 2, Sec. 3, Bade Rd., Taipei

课程目标

现今金融、制造、医疗、服务业等企业资料量爆增，运用人工智能技术可提供企业有效从大数据中萃取有价值的资讯并作帮助企业决策。人工智能可用于解决许多商业问题，如商业情报分析、市场研究、市场营销、金融保险等。本课程将从人工智能原理出发，包括产业应用案例与互动谘询。本课程结合Python语言、TensorFlow操作与案例实作练习，让参与学员可以深入浅出的了解人工智能与实务操作。

Objectives

In this information booming age, applying AI technology provides corpora-tions with valuable information by effectively using big data, and facilitates strategic decision making. AI can be the solution to many commercial ar-eas such as information analysis, market research, marketing, finance and insurance. The course starts with the principles of AI, and also in-cludes practical industry cases and consultation; Python, TensorFlow, and case studies are included to allow students to understand AI through clear and in-depth explanation.
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课程内容

【5/26(六) 基础概念及语言班 】09:30-12:30、13:30-17:30，共7小时

1. 人工智能概述扫描

  • 大数据与人工智能趋势概论
  • 大数据的处理程序 / 资料收集、资料清理、资料储存、资料分析
  • 人工智能热门方法 / 统计方法、机器学习、算法的基本概念
  • 人工智能视觉化应用
  • 人工智能案例讨论

2. Python程式语言入门

  • Python基础入门 / 安装Anaconda与Jupyter Notebook、Python语法基础教学
  • Python结构化资料分析与视觉化 / 抓取政府公开资料、空气品质即时地图
  • Python非结构化资料抓取与分析 / 抓取网络新闻、新闻关键字萃取与自动摘要
  • Python机器学习初探

【5/27(日) TensorFlow特训班 】09:30-11:30、12:30-15:30、 15:40-18:40，共8小时

1. TensorFlow基础学习

  • TensorFlow计算图与运算图建立
  • TensorFlow placeholder语法介绍
  • TensorFlow数值运算方法介绍
  • TensorBoard•TensorFlow建立一维与二维张量
  • 矩阵基本运算

2. TensorFlow实例演练

  • MNIST辨识资料集合
  • MLP多层感知器模型
  • CNN卷积辨识模型

3. TensorFlow应用实务

  • 安装PyCharm IDE开发环境
  • TensorFlow CNN多层感知器模型实做手写辨识系统
  • 透过h5pylib制做.h5档案应用
  • TensorFlow目前应用方面案例探讨

Courses

5/26, Sat. Basic Concepts and Programming Language(09:30~12:30, 13:30~17:30, 7 hrs)

1. General Introduction to AI
  • An Overview on Big Data and AI’s Trends
  • Big Data Processing/Data Collection, Data Cleaning, Data Storage, Data Analysis
  • AI Hot Methods/Statistics, Machine Learning, Basic Algorithm
  • Visual Application and AI
  • AI Case Study
2. Python Basic/Install Anaconda and Jupyter Notebook, Python Language
  • Python Data Structures and Visualization
  • Python Data Structures and Analysis
  • Python Machine Learning

5/27(Sun) TensorFlow Special Training(09:30~11:30, 12:30~15:30, 15:40~18:40, 8 hrs)

1. TensorFlow Basic
  • TensorFlow Computation Graphs
  • TensorFlow Placeholder
  • TensorFlow Numerical Operation
  • TensorBorard, One and Two Dimensional Tensors
  • Matrix Operation
2. TensorFlow Case Practice
  • MNIST (Modified National Institute of Standards and Technology)
  • MLP (Multilayer Perceptron)
  • CNN (Convolutional Neural Network)
3. TensorFlow Applications
  • Install PyCharm IDE
  • TensorFlow CNN
  • h5pylib for h5 Files
  • Case Study on TensorFlow Applications


讲师资讯

Lecturers’ Information

陈昆皇博士

亚洲大学大数据研究中心研究员，多年投入大数据分析与人工智能研究，参与多项金融科技、生医讯号处理、医疗资讯探勘专案。具备近二十篇SCI国际期刊发表以及多项专利。

蔡其杭博士

台大资讯工程博士，曾任资策会前瞻所组长、台湾金融科技公司技术协理。为电脑视觉、文字探勘分析技术专家，专注于非结构化资讯的大数据分析。具备10年以上深厚的技术研发经验，熟悉python程式语言与AWS云端应用架构。于结合深度学习与传统分析技术，用以打造金融、零售相关领域新兴应用具有实战经验。

陈明德博士

中山资讯工程博士，曾任凌网科技工程师、资策会中区处正工程师、纺织所云分部工程师。为资讯安全、机器学习分析技术专家，专注于机器学习理论应用与模型分析，深具6年以上的技术与系统开发经验，熟悉Python程式语言、机器学习模型应用架构、人工智能TensorFlow。对于机器学习与资安应用分析，用以打造安全、人工智能化新兴应用具备相关实战经验。

陈昆皇博士

Dr. Kung-Huang Chen is a researcher at the Big Data Research Center of Asia University. Dr. Chen has been deeply involved in big data and AI re-search for years, taking part in numerous projects on areas such as fintech, biomedical signal processing, and medical data mining. Dr. Chen has published 20 SCI papers on various international journals and owns several patents.

蔡其杭博士

Dr. Chi-Hang Tsai graduated from National Taiwan University with a doc-toral degree in information engineering, worked at the Institute for Innova-tion Industry as a department head, and is currently associate technical manager at Fusions360. Dr. Tsai specializes in computer visualization, text mining, text analytics, and unstructured data analytics. Dr. Tsai has had more than 10 years of research and practical experience in fintech and retailing, and is familiar with Python program language and AWS cloud structure.

陈明德博士

Prof. Min-Te Chen graduated frorm National Sun Yat-sen University with a doctoral degree in information engineer, worked at Hyweb Technology, and as an engineer, the Institute for Innovation Industry, Central Divison as an engineer. Prof. Chen is an expert in information security, machine learning and analytics specializing in machine learning theory and appli-cation as well as model analysis. Prof. Chen has had more than 6-year experience of technical and system development, is familiar with Python program language, machine learning model application, AI TensorFlow, with practical experience specially in information security application and analysis, and AI application.


课程收费标准（含中餐、下午茶、证书）

参训赠好书：《深度学习快速入门：使用TensorFlow》+《精通机器学习：使用Python》（限报名两天课程）

 
 
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注意事项

  1. 课程须配合上机操作，请学员务必自行携带电脑。
  2. 全系列课程使用中文授课，授课讲师及授课内容由科技部GLORIA亚洲大学国际产学联盟以及台湾金融科技公司安排。
  3. 如遇不可抗拒之因素，本课程保留课程内容、讲师调整以及授课时间调整之权利。

报名方式

  1. 请至TCA人才培训专区完成线上报名作业。 
  2. 报名日期：即日起至开课前5日止，名额有限，额满为止。
  3. 若需开立发票，请务必正确填写报名表之所有表格内容。若有误植导致须重新开立发票事宜，学员需自行负担相关手续费用。

证书颁发标准

  1. 课程缺课时数超过3小时者，该课程不予颁发修习证书。缺课时数3小时（含）以内者，颁发「人工智能实务特训班修习证书」一份
  2. 学员上课时需于签到 / 退表完成签到及签退作业，缺课时数以累计方式计算。

地图

台北市电脑公会推广中心
地址：台北市八德路三段2号

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