大數據（Big data）、人工智慧（Artificial Intelligent），以及機器學習（machine learning）時代的來臨，如何從龐大的資料中挖掘出有用的資訊（information），進而產生知識（knowledge），讓我們更有智慧（intelligent）。如何從巨量資料中搜尋（collect）資料，並加以分析（analysis）找出其樣式（pattern），將它用於做出決策。
本課程邀採深入淺出的重點式講解，以「案例演練」及「問題探討」的方式傳授身經百戰的R語言實務經驗，協助學員提昇AI 機器學習能力與大量數據分析，並學以致用至產業管理。
本課程適用於初學者，每一章皆有豐富的多個綜合範例題，以及習題。綜合範例題旨在讓你測試對本課程的各主題了解其應用之處，而習題旨在讓你測試對每個章節課程的了解程度。好的開始是成功的一半，相信自己可以達到想要的目標，進而進入AI機器學習的領域。
As the era of Big data, Artificial Intelligent, and machine learning, how to mine useful information from large data and then generate knowledge, make us more intelligent. How to collect data from a huge amount of data, analyze it to find its pattern, and use it to make decisions.
This course invites in-depth and clear key explanations, and teaches R language practical experience through "case practice" and "question exploration", helping students improve AI machine learning capabilities and large amounts of data analysis, and apply it to industry management.
This course is suitable for beginners, and each chapter contains many comprehensive examples and questions. The comprehensive sample topics are designed to give you an idea of how well you apply to the topics of this course, and the topics are designed to give you an idea of each chapter course. A good start is half the success, and believe that you can achieve the desired goals and then enter the field of AI machine learning.
講義
Talk about
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
30 | |
| 期末報告期末報告 Final report |
30 | |
| 作業與討論點名作業與討論點名 Business and discussion point names |
40 |
