0997 - 機器學習導論

Introduction to Machine Learning

教育目標 Course Target

機器學習已成功應用於許多現實世界的問題，目前產業界、科研領域都需要此方面人才。 這課程為基礎簡介， 對象大學部學生為主。我們以深入淺出，介紹了機器學習基礎的model、核心概念和幾個常用的深度學習，也包含數學理論間意基礎與實作，model包括線性模型、regression、非線性模型、深度前饋網絡、深度學習、CNN的演算法，為同學日後研究打下基礎。課程並說明許多實際實務應用，包含g.手寫字辨識、語音辦認、影像、EC廣告推撥。另外， 也教導pythont程式語言與TensorFlow，以此實作機器學的範例與練習。

Machine learning has been successfully applied to many real world problems, and talents in the industry and scientific research fields are currently needed. This course is a basic introduction, mainly targeting university students. We have introduced the model, core concepts and several commonly used deep learning based on machine learning, and also includes mathematical theory conscious basis and implementation. Model includes linear models, regression, non-line models, deep precursor networks, deep learning, and CNN algorithms, laying the foundation for future research of classmates. The course also explains many practical applications, including g. manual word identification, voice recognition, video, and EC advertising promotion. In addition, we also teach pythont programming language and TensorFlow to use this to implement examples and practices of machine learning.

參考書目 Reference Books

PYTHON之數學基礎與實作

Mathematical Basics and Integration of PYTHON

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
小考一
A small test
 15 上機
期中考
Midterm exam
 30 期中上機+期中專題各15%
小考二
Tips two
 15 筆試+上機
期末考
Final exam
 30 期末上機(10%)+期末專題(20%)
作業
Action
 10 6~8次作業

授課大綱 Course Plan

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課程代碼
Course Code		 課程名稱
Course Name		 授課教師
Instructor		 時間地點
Time & Room		 學分
Credits		 操作
Actions
必修-1000
Introduction to Machine Learning
 資工系2C 陳仕偉 一/5,6,7[ST019] 3-0 詳細資訊 Details

課程資訊 Course Information

基本資料 Basic Information
  • 課程代碼 Course Code: 0997
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Friday/6,7,8[ST023]
  • 授課教師 Teacher:
    石志雄
  • 修課班級 Class:
    資工系2B
  • 選課備註 Memo:
    資電組分組選修
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 58 人
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