Meetings/Workshops on Information & Knowledge Management, Big Data Computing in the United States (USA)

American University

American University will hold the 2021 Institute for Data Science and Big Data online, which is geared to working professionals looking to upgrade their data science skills. The institute will cover the basics of data science, including obtaining relevant data, cleaning and exploring data, creating models, stating inferences, making reliable predictions, and communicating findings. The course consists of a mixture of lectures, guest speakers, and group assignments. It will take place over 10 working days, January 4-8 and 11-15, 9 AM to 5 PM EST.

Email: dsi@american.edu

Big data, data science, training, professional development, exploratory methods, graphics, regression, machine learning, clustering analysis, Bayesian, Python, JavaScript, HTML, CSS, Mining, SQL, Tableau, GitHub

Society for Industrial and Applied Mathematics (SIAM)

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

This conference is held in cooperation with the American Statistical Association.

Probability and Statistics, Game Theory,    Search Engines and Data Mining

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Data Mining and Analytics.

MRSI – Mathematical Sciences Research Institute, Berkeley

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)

MarketsandMarkets - Conferences

Phone: [2048598285];     Email: suraj.waghmare@marketsandmarkets.com