Recommendation Engines

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines  eBooks & eLearning

Posted by AvaxGenius at April 5, 2022
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines By Alexander Paprotny
English | PDF(True) | 2013 | 333 Pages | ISBN : 3319013203 | 7.1 MB

​​​​Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.

Recommendation Engines (The MIT Press Essential Knowledge Series)  eBooks & eLearning

Posted by readerXXI at March 5, 2021
Recommendation Engines (The MIT Press Essential Knowledge Series)

Recommendation Engines (The MIT Press Essential Knowledge Series)
by Michael Schrage
English | 2020 | ISBN: 0262539071 | 306 Pages | PDF | 8.5 MB

Building Recommendation Engines  eBooks & eLearning

Posted by AlenMiler at March 2, 2019
Building Recommendation Engines

Building Recommendation Engines by Suresh Kumar Gorakala
English | December 29, 2016 | ISBN: 1785884859 | 372 pages | AZW3 | 22 Mb

Building Practical Recommendation Engines – Part 1  eBooks & eLearning

Posted by FenixN at Feb. 8, 2017
Building Practical Recommendation Engines – Part 1

Building Practical Recommendation Engines – Part 1
HDRips | MP4/AVC, ~388 kb/s | 1920x1080 | Duration: 02:52:53 | English: AAC, 128 kb/s (2 ch) | 633 MB
Genre: Development / Programming

Make Intelligent predictions with real-world projects

Building Practical Recommendation Engines – Part 2  eBooks & eLearning

Posted by FenixN at Feb. 8, 2017
Building Practical Recommendation Engines – Part 2

Building Practical Recommendation Engines – Part 2
HDRips | MP4/AVC, ~81 kb/s | 1280x720 | Duration: 02:12:31 | English: AAC, 128 kb/s (2 ch) | 521 MB
Genre: Development / Programming

Use behavioral and historical data to predict the future.

Learning Path: Build Your Own Recommendation Engines  eBooks & eLearning

Posted by FenixN at March 19, 2017
Learning Path: Build Your Own Recommendation Engines

Learning Path: Build Your Own Recommendation Engines
HDRips | MP4/AVC, ~461 kb/s | 1920x1080 | Duration: 05:05:21 | English: AAC, 128 kb/s (2 ch) | 1.12 GB
Genre: Development / Programming

Predict the future by making the most of the data you have today!

Building Recommendation Engines  eBooks & eLearning

Posted by Grev27 at Jan. 7, 2017
Building Recommendation Engines

Suresh Kumar Gorakala, "Building Recommendation Engines"
English | ISBN: 1785884859 | 2016 | PDF/EPUB/MOBI (True) | 357 pages | 79 MB
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python by Rounak Banik
English | September 18th, 2018 | ISBN: 1788993756 | 146 Pages | EPUB (True/HQ) | 8.68 MB

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines (Repost)  eBooks & eLearning

Posted by step778 at April 27, 2017
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines (Repost)

Alexander Paprotny, Michael Thess, "Realtime Data Mining: Self-Learning Techniques for Recommendation Engines"
2013 | pages: 333 | ISBN: 3319013203 | PDF | 4,3 mb

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines  eBooks & eLearning

Posted by AvaxGenius at Feb. 21, 2018
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines

Realtime Data Mining: Self-Learning Techniques for Recommendation Engines By Alexander Paprotny
English | EPUB | 2013 | 333 Pages | ISBN : 3319013203 | 3.28 MB

​​​​Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.