NJBDA Highlights

9th Annual NJBDA Symposium – May 9 @ NJIT

The theme for the 9th Annual Symposium is "Building the Workforce Pipeline for a Data-Driven Economy" and will include keynotes, a panel discussion, and workshops. This year’s symposium will be held in person at the New Jersey Institute of Technology.

Grow Your Profits with Data from Digital Technology: A Seminar for Restaurant and Foodservice Professionals – April 25

New Jersey Big Data Alliance Workshop Series in collaboration with Montclair State University’s New Jersey Policy Think Tank for the Food Industry and Restaurants

Intelligent Informatics @ Bloustein Workshop and Seminar Series – April 8

Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction. The session will consist of brief presentations, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks, and end with Q&A.

Call for Manuscripts for the Journal of Big Data: Theory and Practice

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.

State of the State of Innovation in New Jersey Report

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.

“Deep Learning with Python” workshop recording now available

This workshop focuses on learning the basics of Deep Learning with Python and Keras including data preparation, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).

“Machine Learning with Python” workshop recording now available

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.