Recording available. In this workshop, we will go through some of these techniques including vectorization, parallelization, just in time compilation, and distributed task executions. We will do hands-on exercises to emphasize the following solutions.

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.

In this workshop, we will go through the basics of artificial neural networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), and do hands-on training with these DL models to build predictive analytics for image and text data.

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. Participants will learn to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers.

NJBDA Workshop Series, in collaboration with Montclair State University's New Jersey Policy Think Tank for the Food Industry and Restaurants. Join our panel of technology and marketing experts, restaurateurs and food service professionals to discuss digital technologies, including payment tools, customer reservation, and social media marketing tools to create value and grow your profits!