BigML is a scalable machine learning platform that allows users to leverage and automate techniques such as classification, regression, cluster analysis, time series, anomaly detection, forecasting, and other prominent machine learning methods in a single framework. BigML provides a fully interchangeable...
The use of data science methods within finance enables risk assessment through modeling while optimizing portfolios thereby helping investors make decisions based on facts as well as manage financial risks more effectively for banks and other financial institutions. Companies who are using Data Science?
In 2010, Susanna joined the University of Oxford, UK. Currently she is a Director and Principal Investigator at the Oxford e-Research Centre, a Full Professor at the Department of Engineering Science, and the University-wide Academic Lead for Research Practice. Her team works on methods and ...
Amsterdam, a growing city of over 800,000 people in the Netherlands, is struggling to collect waste. While residents in most districts of the city use underground bins to deposit their garbage, the historic Centrum district conti...
I've been meaning to post these methods in case others have this need. The learnings here come from countless hours of work, so hopefully what I share with you can help you if the need arises. More BY : JEFFREY SHAFFER& STEVE WEXLER January 9, 2017 What to do when so many ...
tree-based methods, support vector machines, clustering, and more. Color graphics and real life examples are used to illustrate the methods presented. Since the purpose of this manual is to facilitate the use of these statistical learning techniques by professionals in science, industry, and other...
Data in Brief 10-year Anniversary Article Collection 11 October 2023 View all news Calls for papers Common European Data Spaces – enabling data-driven innovation at scale Guest editors: Marco Minghini, Alexander Kotsev, Matthijs Punter, Paolo Mazzetti, Tuomo Tuikka, Edward Curry, Natalie Bertels ...
- Use advanced visualization techniques and data storytelling methods to present findings and communicate key business metrics to stakeholders. Minimum Qualifications MS in Computer Science, Statistics, Applied Math or a related field and 3+ years of industry experience or BS in related field with...
Big data refers to the generation, collection, and processing of heavy volumes of data from a wide range of sources. Data analytics is the study of data to derive insights. While analytics can be performed on a single, contained dataset, it works best with heavy volumes of data—in fact,...
Status Open for submissions Submission deadline 31 December 2025 Collection Special Issue on Data Science and AI for Smart Disaster Resilience -. Status Open for submissions Submission deadline 31 December 2025 Collection PAKDD 2024 Guest Editors: De-Nian Yang and Xing Xie. ...