It is our great pleasure to announce the call for papers for the Journal of Big Data: Theory and Practice (JBDTP). JBDTP is an open access peer-reviewed journal which is devoted to the publication of high-quality papers on the theoretical and practical aspects of big data, AI, applications and machine learning. Authors are invited to submit novel, high quality work that has neither appeared in nor is under consideration for publication elsewhere.

Collaborating partners TechUnited, Edge, the New Jersey Economic Development Authority (NJEDA), and the New Jersey Big Data Alliance (NJBDA), are pleased to announce the availability of the State of The State of Innovation in New Jersey Report.

In this workshop, after a brief overview on machine learning, we will focus on doing the hands-on training in applying ML models on various data types including image, text, and time series. We will work through the use cases of classification and regression problems and discuss where to apply supervised or unsupervised methods.