Practical AI Training Courses by Taipei Computer Association

Practical AI Training Courses by Taipei Computer Association

  • 時間:2018/5/26~5/27
  • 地點:台北市八德路三段2號(台北市電腦公會推廣中心)
  • 說明:現今金融、製造、醫療、服務業等企業資料量爆增,運用人工智慧技術可提供企業有效從大數據中萃取有價值的資訊並作幫助企業決策。人工智慧可用於解決許多商業問題,如商業情報分析、市場研究、市場營銷、金融保險等。本課程將從人工智慧原理出發,包括產業應用案例與互動諮詢。本課程結合Python語言、TensorFlow操作與案例實作練習……
  • 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…
系列課程
人工智慧特訓班
Practical AI Training Courses

時間:2018/5/26(六)、2018/5/27(日),共兩日
地點:台北市八德路三段2號(台北市電腦公會推廣中心)

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

課程目標

現今金融、製造、醫療、服務業等企業資料量爆增,運用人工智慧技術可提供企業有效從大數據中萃取有價值的資訊並作幫助企業決策。人工智慧可用於解決許多商業問題,如商業情報分析、市場研究、市場營銷、金融保險等。本課程將從人工智慧原理出發,包括產業應用案例與互動諮詢。本課程結合Python語言、TensorFlow操作與案例實作練習,讓參與學員可以深入淺出的了解人工智慧與實務操作。

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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課程內容

【5/26(六) 基礎概念及語言班 】09:30-12:30、13:30-17:30,共7小時

1. 人工智慧概述掃描

  • 大數據與人工智慧趨勢概論
  • 大數據的處理程序 / 資料收集、資料清理、資料儲存、資料分析
  • 人工智慧熱門方法 / 統計方法、機器學習、演算法的基本概念
  • 人工智慧視覺化應用
  • 人工智慧案例討論

2. Python程式語言入門

  • Python基礎入門 / 安裝Anaconda與Jupyter Notebook、Python語法基礎教學
  • Python結構化資料分析與視覺化 / 抓取政府公開資料、空氣品質即時地圖
  • Python非結構化資料抓取與分析 / 抓取網路新聞、新聞關鍵字萃取與自動摘要
  • Python機器學習初探

【5/27(日) TensorFlow特訓班 】09:30-11:30、12:30-15:30、 15:40-18:40,共8小時

1. TensorFlow基礎學習

  • TensorFlow計算圖與運算圖建立
  • TensorFlow placeholder語法介紹
  • TensorFlow數值運算方法介紹
  • TensorBoard•TensorFlow建立一維與二維張量
  • 矩陣基本運算

2. TensorFlow實例演練

  • MNIST辨識資料集合
  • MLP多層感知器模型
  • CNN卷積辨識模型

3. TensorFlow應用實務

  • 安裝PyCharm IDE開發環境
  • TensorFlow CNN多層感知器模型實做手寫辨識系統
  • 透過h5pylib製做.h5檔案應用
  • TensorFlow目前應用方面案例探討

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


講師資訊

Lecturers’ Information

陳昆皇博士

亞洲大學大數據研究中心研究員,多年投入大數據分析與人工智慧研究,參與多項金融科技、生醫訊號處理、醫療資訊探勘專案。具備近二十篇SCI國際期刊發表以及多項專利。

蔡其杭博士

台大資訊工程博士,曾任資策會前瞻所組長、臺灣金融科技公司技術協理。為電腦視覺、文字探勘分析技術專家,專注於非結構化資訊的大數據分析。具備10年以上深厚的技術研發經驗,熟悉python程式語言與AWS雲端應用架構。於結合深度學習與傳統分析技術,用以打造金融、零售相關領域新興應用具有實戰經驗。

陳明德博士

中山資訊工程博士,曾任凌網科技工程師、資策會中區處正工程師、紡織所雲分部工程師。為資訊安全、機器學習分析技術專家,專注於機器學習理論應用與模型分析,深具6年以上的技術與系統開發經驗,熟悉Python程式語言、機器學習模型應用架構、人工智慧TensorFlow。對於機器學習與資安應用分析,用以打造安全、人工智慧化新興應用具備相關實戰經驗。

陳昆皇博士

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.

陳明德博士

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.


課程收費標準(含中餐、下午茶、證書)

參訓贈好書:《深度學習快速入門:使用TensorFlow》+《精通機器學習:使用Python》(限報名兩天課程)

 
 
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地圖

台北市電腦公會推廣中心
地址:台北市八德路三段2號