Duration: (14:9) ?Subscribe5835 2025-02-22T02:28:36+00:00
許志華資料探勘 12-1 A Model for Recommendation Systems
(17:4)
許志華資料探勘 12-3 Collaborative Filtering
(28:21)
許志華資料探勘 12-6 Dimensionality Reduction and Query with SVD
(14:9)
許志華資料探勘 12-4 Dimensionality Reduction
(8:14)
許志華資料探勘 12-2 Content based Recommender Systems
(16:35)
許志華資料探勘 11-2 The k means algorithm for clustering
(11:54)
許志華資料探勘 10-1 Understanding association rules
(18:13)
HSK4 - Lesson12part1 用心发现世界(上)
(50:29)
HSK5 Standard Course Lesson12 Part1 | Overseas Users of Wechat-1 |HSK5级标准教程第12课: 海外用户玩儿微信- -第1部分
(35:53)
洞見研究領域的脈動與全貌—領域網絡分析實務教學[臺大圖書館HELP講堂20201125]
(1:33:17)
Training of RBF Networks | Neural Networks
(26:18)
EDS Genesis Quantitative Analysis (Part 1)
(7:35)
What is the Singular Value Decomposition?
(7:40)
VSM, LSA, \u0026 SVD | Introduction to Text Analytics with R Part 7
(37:32)
【創陞觀點】 (21/02/2025)
(1:11:57)
Lecture 47 — Singular Value Decomposition | Stanford University
(13:40)
Stanford Webinar - Creating Fair, Useful, and Reliable AI in Healthcare
(49:15)
許志華資料探勘 14 conclusion
(12:52)
許志華資料探勘 10-2-5 identifying frequently purchased groceries
(8:34)
許志華資料探勘 11-1 Understanding clustering
(6:33)
許志華資料探勘 08-1 Understanding neural networks
(22:22)
許志華資料探勘 10-2-1 identifying frequently purchased groceries
(4:40)
許志華資料探勘 05-1 Understanding decision trees
(13:16)
許志華資料探勘 03-1 Understanding classification using nearest neighbors
(17:7)
許志華資料探勘 01-2 機器學習
(38:18)
許志華資料探勘 01-1 大數據
(13:55)
許志華資料探勘 09-1 Understanding Support Vector Machines
(10:9)