'Root mean squared error' presentation slideshows

The Netflix Prize

The Netflix Prize. Sam Tucker, Erik Ruggles , Kei Kubo, Peter Nelson and James Sheridan Advisor: Dave Musicant. The Problem. The User. Meet Dave: He likes: 24, Highlander, Star Wars Episode V, Footloose, Dirty Dancing He dislikes: The Room, Star Wars Episode II, Barbarella , Flesh Gordon

1.26k views • 108 slides

The Netflix Prize

The Netflix Prize. Sam Tucker, Erik Ruggles , Kei Kubo, Peter Nelson and James Sheridan Advisor: Dave Musicant. The Problem. The User. Meet Dave: He likes: 24, Highlander, Star Wars Episode V, Footloose, Dirty Dancing He dislikes: The Room, Star Wars Episode II, Barbarella , Flesh Gordon

1.25k views • 108 slides

Review

910 views • 73 slides

Regression / Calibration

877 views • 68 slides

Session 8

800 views • 59 slides

Recommendation in Social Networks

Recommendation in Social Networks. Mohsen Jamali , Martin Ester Simon Fraser University Vancouver, Canada. UBC Data Mining Lab October 2010. Outline. Introduction Collaborative Filtering Social Recommendation Evaluating Recommenders TrustWalker SocialMF Conclusion. Outline.

886 views • 58 slides

Lecture 1: Introduction

Lecture 1: Introduction. Machine Learning CUNY Graduate Center. Today. Welcome Overview of Machine Learning Class Mechanics Syllabus Review Basic Classification Algorithm. My research and background. Speech Analysis of Intonation Segmentation Natural Language Processing

727 views • 55 slides

User Profiling based on Folksonomy Information in Web 2.0 for Personalized Recommender Systems

User Profiling based on Folksonomy Information in Web 2.0 for Personalized Recommender Systems. Huizhi ( Elly ) Liang Supervisors: Yue Xu , Yuefeng Li, Richi Nayak. Queensland University of Technology, Australia. Agenda. 1. Introduction. 2. Literature Review.

627 views • 49 slides

Applied Business Forecasting and Planning

1.06k views • 43 slides

Week 2 Video 4

438 views • 35 slides

The Calibration Process

The Calibration Process. Calibration of a flow model refers to a demonstration that the model is capable of producing field-measured heads and flows which are the calibration values.

560 views • 33 slides

EC339: Lecture 6

EC339: Lecture 6. Chapter 5: Interpreting OLS Regression. Regression as Double Compression. DoubleCompression.xls EastNorthCentralFTWorkers.xls [DoubleCompression] SATData Math and Verbal scores Note simple statistics summary and correlation Conditional Mean E[Y|X] Start with Scatterplot.

369 views • 31 slides

Correlation and Least Squares

Correlation and Least Squares. Exploring the relationship between two numerical variables. Preview of Remainder of Course. So far we have: Discussed sampling methods and study designs Talked about inference for proportions Talked about inferences for means

570 views • 30 slides

Region of Origin Labeling for Food Products from NRW

Region of Origin Labeling for Food Products from NRW. Relevance for Consumers Master Thesis Presentation August 2013 Bettina Anne-Sophie Lorenz. Overview. Motivation for Research Important Concepts Regionalmarke NRW: Status Quo of Regionality Labeling in NRW Procedure

440 views • 25 slides

Temporal Diversity in Recommender Systems

Temporal Diversity in Recommender Systems. Neal Lathia , Stephen Hailes , Licia Capra , and Xavier Amatriain SIGIR 2010 April 6, 2011 Hyunwoo Kim. Outline. Introduction Why Temporal Diversity? Evaluating for Diversity Promoting Temporal Diversity Conclusion. Introduction.

298 views • 22 slides

Evaluation Methods and Challenges

Evaluation Methods and Challenges. Evaluation Methods. Ideal method Experimental Design: Run side-by-side experiments on a small fraction of randomly selected traffic with new method (treatment) and status quo (control) Limitation

332 views • 17 slides

Do Integer Ratings Hinder Recommendation Systems?

Do Integer Ratings Hinder Recommendation Systems? By: Shi Hui Lim, Jimmy Bobowski , Amanda Lambert. Introduction Problem: Do integer ratings hinder recommendation systems? Use Matrix Completion algorithm to complete sparse matrices that come from the original Netflix training dataset

122 views • 1 slides