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 assistants, from the basic concepts of AI to relevant theoretical overviews, application examples and hands-on implementation, and then provide information on actual cases of industry-university cooperation that teachers have participated in, so that students can fully learn from theory to practice, and truly have the ability to solve problems through action. At the same time, through actual industry-university case studies and materials, students can understand the gap between industrial issues and theory, thereby cultivating students’ ability to assist in industrial AI transformation.
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
Deep Learning:
Author: Josh Patterson, Adam Gibson
Translator: Lan Zixuan
Publisher: O'Reilly
評分方式 Grading
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授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 0224
- 學分 Credit: 3-0
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上課時間 Course Time:Monday/6,7,8
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授課教師 Teacher:許瑞愷/陳倫奇
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修課班級 Class:歷史系1-4
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選課備註 Memo:與雲創學院2901課程併班
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