Start Date: 9/15/2021 1:00 PM EDT
End Date: 9/15/2021 2:00 PM EDT
Venue Name: Zoom
In this webinar, Judah will provide an overview of machine learning and artificial intelligence and teach you a widely-used methodology for applying ML/AI to your digital data for classification, regression, and time series analyses. He will explain the process for digital analysts to participate in or deliver data science projects at their companies, including a review of the major model classes and algorithms used. Sample data from the real world will be evaluated to illustrate concepts. Using these samples, Judah will apply cutting-edge technology to produce machine-learning models and the predictive results, in a way that digital analysts can replicate with today’s tools. Phillips will walk you through how to understand the results, including detailed exposes of the underlying metrics and key performance indicators that illustrate predictive power, model accuracy, and much more.
Upon completion of this program, participants will:
1. Learn an experienced practitioners view of what ML and AI is in the real-world outside of theory
2. Understand how to apply ML and AI at your job and to your company
3. Learn and review the process for applying ML and AI to your data from start to finish
4. Understand new metrics, concepts, and KPIs that are specific to AI and ML and not typically known in digital analytics
Join our webinar to learn more.
About the Speaker:
Judah Phillips is an award-winning entrepreneur, consultant, and author. He co-founded Squark and currently focuses on product, strategy, and growth. He also founded SmartCurrent and has sat on multiple boards of technology companies. As a Harvard Innovation Lab VIP, he has written three books on analytics and data science. Judah is an adjunct professor at Boston University, an adjunct lecturer at Babson College, and a founding member of the University of Massachusetts Advisory Council for the Humanities and Fine Arts. Judah holds an MBA and an MsF from Northeastern University and a B.A. from the University of Massachusetts Amherst.