此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
機器學習 機器學習之基本技術，著重於使用這些技術設計與實作小型實用學習系統。主題包括將學習視為搜尋、歸納偏好、概念學習、計算學習、基於解釋之學習與增強學習。授課、研討，每週 3 小時。先修科目：COSC 3P71（最低 60%）。注意：本課程可能以多種授課模式提供。授課方式將登載於學期課務表。
先修條件
- 先修科目：COSC 3P71（最低 60%）。
條件與方式
- 先修科目：COSC 3P71（最低 60%）。
- 注意：此課程可能以多種授課方式開設。授課方式將在適用學期的學術時刻表中列出。
原文參考文本
Machine Learning Fundamental machine learning techniques with emphasis on using these techniques to design and implement small practical learning systems. Topics include learning as a search, inductive bias, concept learning, computational learning, explanation-based learning and reinforcement learning. Lectures, seminar, 3 hours per week. Prerequisite(s): COSC 3P71 (minimum 60 percent). Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Prerequisite(s): COSC 3P71 (minimum 60 percent).
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
來源與參考
保留日期與來源以協助你核實資料。為便於閱讀提供譯文；官方來源為條件與要求的參照。
來源參考 : https://brocku.ca/webcal/2024/undergrad/cosc.html