Global AI and Data Science

Introduction The amount of real-time data that is generated from users is enormous and thanks to science and technology which made it is possible to analyze, learn and predict using past data. It clearly resulted that with more data deep ...

This emerging blog includes emerging WiDS (Women in Data Science) Regional Events and Datathon Workshops involving IBMers and WiDS Datathon teams too! Short link for this page https://ibm.biz/wids2023-ibm WiDS New York @ IBM - Datathon Workshop ...

Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics and other fields, to find a linear combination of features that ...

SVMs or Support Vector Machines are one of the most popular and widely used algorithm for dealing with classification problems in machine learning. However, the use of SVMs in regression is not very well documented. This algorithm acknowledges the presence ...

IBM is pleased to host a two-day data science workshop in NYC this winter. This workshop will bring together nonprofit organizations dedicated to addressing poverty, hunger and homelessness. Participants will have a chance to work hands-on with IBM designers ...