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0224 - AI(一)資料科學技術 AI(1):Data Science and its Relevant Techniques


教育目標 Course Target

本課程希望透過老師與助教群提供學生手把手的方式,從AI基本觀念到相關理論概述、應用範例說明與動手實作,進而提供老師參與過的產學合作實際案例資料,讓學生能從理論到實務都能充分學習,真的具備動作解決問題的能力。同時透過實際產學案力與資料,學生能了解產業問題與理論的落差,進而培養學生協助產業AI化的能力。This course hopes to provide students with a step-by-step approach through teachers and teaching assistant groups, from basic AI concepts to relevant theory overview, application example description and manual practice, and then provide teachers with actual case data on the actual cooperation of their students in the industry, so that students can fully learn from theory to practice, and really have the ability to move and solve problems. At the same time, through the international production capacity and data, students can understand the gap between industry problems and theoretical discussions, and thus cultivate students' ability to assist in the AI ​​of the industry.


參考書目 Reference Books

深度學習:
作者: Josh Patterson, Adam Gibson
譯者: 藍子軒
出版社:歐萊禮
In-depth learning:
Author: Josh Patterson, Adam Gibson
Translator: Blue Roll
Publisher: Ole Leather


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Monday/6,7,8
授課教師 Teacher:許瑞愷/陳倫奇
修課班級 Class:歷史系1-4
選課備註 Memo:與雲創學院2901課程併班
授課大綱 Course Plan: Open

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