소유자
보기 전용
업로드 및 편집
회원만이 이 폴더의 항목을 볼 수 있습니다.
회원은 이 폴더에서 항목을 보고, 추가하며, 편집 및 삭제할 수 있습니다.

BuildYourOwnRecommendationEngines

별 BHU L. 1,142,475 KB • 56 파일

불건전 메시지 신고
Zip으로 다운로드
내 계정에 추가
 
이름 크기 추가 날짜 계정에 추가
01 - The Course Overview - Learning Path Build Your Own Recommendation Engines.mp4
01 - The Course Overview - Learning Path Build Your Own Recommendation Engines.mp4
02 - Recommendation engine definition - Learning Path Build Your Own Recommendation Engines.mp4
02 - Recommendation engine definition - Learning Path Build Your Own Recommendation Engines.mp4
03 - Types of recommender systems.mp4
03 - Types of recommender systems.mp4
04 - Evolution of recommender systems with technology.mp4
04 - Evolution of recommender systems with technology.mp4
05 - Loading and formatting data.mp4
05 - Loading and formatting data.mp4
06 - Calculating similarity between users.mp4
06 - Calculating similarity between users.mp4
07 - Predicting the unknown ratings for users.mp4
07 - Predicting the unknown ratings for users.mp4
08 - Nearest neighborhood-based recommendation engines.mp4
08 - Nearest neighborhood-based recommendation engines.mp4
09 - Content-based recommender system.mp4
09 - Content-based recommender system.mp4
10 - Context-aware recommender system.mp4
10 - Context-aware recommender system.mp4
11 - Hybrid recommender systems.mp4
11 - Hybrid recommender systems.mp4
12 - Model-based recommender systems.mp4
12 - Model-based recommender systems.mp4
13 - Neighborhood-based techniques.mp4
13 - Neighborhood-based techniques.mp4
14 - Mathematical model techniques.mp4
14 - Mathematical model techniques.mp4
15 - Machine learning techniques.mp4
15 - Machine learning techniques.mp4
16 - Classification models.mp4
16 - Classification models.mp4
17 - Clustering techniques and dimensionality reduction.mp4
17 - Clustering techniques and dimensionality reduction.mp4
18 - Vector space models.mp4
18 - Vector space models.mp4
19 - Evaluation techniques.mp4
19 - Evaluation techniques.mp4
20 - Installing the recommenderlab package in RStudio.mp4
20 - Installing the recommenderlab package in RStudio.mp4
21 - Datasets available in the recommenderlab package.mp4
21 - Datasets available in the recommenderlab package.mp4
22 - Exploring the dataset andbuilding user-based collaborative filtering.mp4
22 - Exploring the dataset andbuilding user-based collaborative filtering.mp4
23 - Building an item-based recommender model.mp4
23 - Building an item-based recommender model.mp4
24 - Collaborative filtering using Python.mp4
24 - Collaborative filtering using Python.mp4
25 - Data exploration.mp4
25 - Data exploration.mp4
26 - User-based collaborative filtering with the k-nearest neighbors.mp4
26 - User-based collaborative filtering with the k-nearest neighbors.mp4
27 - Item-based recommendations.mp4
27 - Item-based recommendations.mp4
28 - The Course Overview.mp4
28 - The Course Overview.mp4
29 - Personalized and Content-Based Recommender System.mp4
29 - Personalized and Content-Based Recommender System.mp4
30 - Content-Based Recommendation Using Python.mp4
30 - Content-Based Recommendation Using Python.mp4

내 4shared 폴더 BuildYourOwnRecommendationEngines에서 30 video 파일들 확인

이용약관
개인정보
지원
Do not sell my personal information
Do not share my personal information
Mobile Version
• 한국어
Deutsch
Русский
Bahasa Indonesia
Bahasa Melayu
Português (Brasil)
English
Italiano
Français
Español
中文
العربية
Tiếng Việt
ไทย
日本語
پارسی
Polski
Türkçe
We Use Cookies. 4shared uses cookies and other tracking technologies to understand where our visitors are coming from and improve your browsing experience on our Website. By using our Website, you consent to our use of cookies and other tracking technologies. Change my preferences
I Agree