Home Page Icon
Home Page
Table of Contents for
Cover
Close
Cover
by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Cover
Front Matter
1. Introduction to Recommendation Systems
2. Market Basket Analysis (Association Rule Mining)
3. Content-Based Recommender Systems
4. Collaborative Filtering
5. Collaborative Filtering Using Matrix Factorization, Singular Value Decomposition, and Co-Clustering
6. Hybrid Recommender Systems
7. Clustering-Based Recommender Systems
8. Classification Algorithm–Based Recommender Systems
9. Deep Learning–Based Recommender System
10. Graph-Based Recommender Systems
11. Emerging Areas and Techniques in Recommender Systems
Back Matter
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Next
Next Chapter
Front Matter
Book cover of Applied Recommender Systems with Python
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset
