統計學是一門用於資料收集、分析、說明以及推論的學科。在非電腦時代，統計被認為是尋找成功的踏腳石，即資訊即是力量。進入大數據時代後，資料的收集多由電腦承擔，統計學更多被利用於避免錯誤的資料收集，收集有效的資料而非產生上萬筆無效數據供AI模型學習。本課程希望透過統計理論的學習，並透過實作各項檢定推論工具，協助學生完成透過統計進行資料清洗以及機械學習的模型實作。Statistical Technique is a subject used to collect, analyze, explain and recommend data. In the non-computer era, it is considered to be the treading stone for success, and information is strength. After entering the era of large data, data collection is mostly carried by computers, and sci-
This course hopes to learn theories and implement various certification and recommendation tools to help students complete model implementations of data cleaning and mechanical learning through statistical analysis.
主要理論部分機率與統計(Essentials of Probability & Statistics for engineers & scientists) 謬紹綱譯
搭配自編投影片
Mainly theories of partial probability and statistics (Essentials of Probability & Statistics for engineers & scientists) Remarkable translation
With self-edited projection film
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 考試考試 exam |
50 | |
| 作業&平時表現作業&平時表現 Work & Daily Performance |
50 |
