“There are a number of Bayesian modelling packages available, but how do you know which one to use? This talk will take you through the positives and negatives of the major packages, focusing on the specifics of my work in health statistics, as well as providing a general overview of what these packages can do.”
Search Results for: modeling
Host Analytics Introduces Modeling Cloud
April 7, 2015 by Leave a Comment
Host Analytics, a leader in cloud-based enterprise performance management (EPM), today announced the launch of Host Analytics Modeling Cloud, a new module in Host Analytics Cloud EPM Suite.
Predictive Modeling and Production Deployment
October 8, 2014 by 1 Comment
Using predictive analytics involves understanding and preparing the data, defining the predictive model, and following the predictive process. Predictive models can assume many shapes and sizes, depending on their complexity and the application for which they are designed. The first step is to understand what questions you are trying to answer for your organization.
Interview: How Anaplan Delivers Innovation in Real-Time Data Modeling
March 7, 2014 by Leave a Comment
“The Anaplan revolution is to provide a big-data engine for business users, removing the need to work with data scientists. The ability to scale your data – 100 billion cells in one model, with 1 billion items in a list – will prove to be the key to proliferation, so long as the data is immediate, useable, consumable via apps, and easy to modify. With Anaplan, business users can build a model with 500 million cells, use it for one hour for a specific purpose, and then throw it away and start on a new one if they want! Ease of use is key. This is the future of enterprise big data.”
Video: Big Data Analytics for Credit Risk Modeling
January 29, 2012 by Leave a Comment
In this video, Greenplum demonstrates how their in-database analytics can be used for credit risk modeling.
Video: Cassandra NYC 2011: Matt Dennis – Data Modeling Workshop
January 1, 2012 by Leave a Comment
In this video, Matt Dennis from DataStax presents a Data Modeling Workshop at the Cassandra NYC 2011 conference.
Avoid these 8 Data-related Mistakes on Data Projects
April 29, 2024 by Leave a Comment
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects
How to Use Raw Data in Web Analytics
April 25, 2024 by Leave a Comment
In this contributed article, Mateusz Krempa, Chief Operations Officer for Piwik PRO, explores the benefits and challenges of using raw data in analytics, and discusses its potential use cases for gaining valuable insights.
Nature Communications Publishes Zapata AI Research on Generative AI for Optimization
April 23, 2024 by Leave a Comment
Zapata Computing Holdings Inc. (Nasdaq: ZPTA), the Industrial Generative AI company, announced that its foundational research on generator-enhanced optimization (GEO) has been published in the esteemed Nature Communications journal. The research, titled “Enhancing Combinatorial Optimization with Classical and Quantum Generative Models,” introduces Generator-Enhanced Optimization (GEO), a novel optimization method that leverages the power of generative modeling to suggest high-quality candidate solutions to complex optimization problems.
Avoid these 7 Common Business-related Mistakes On Data Projects
April 16, 2024 by Leave a Comment
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.
