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Spark by Go Studio - Connecting the Dots: Contextualizing the Future of Machine Learning
Make way for machine learning! This emerging technology is getting “bigger” – more complex data, more intelligent systems, and more widely applicable. As both the theory and application of machine learning advance, the context in which the applications operate becomes increasingly important. For modern applications, it will be vital to understand the modes of analysis and learning between networks of customers, products, operations and devices. Think of the potential for real-time analysis and decision-making in social networks, biology, IoT, marketing and more.

In this talk, Dr. Roy George, Professor/Chair of the Cyber-Physical Systems Department at Clark Atlanta University, will show how modern analysis of the relationships within networks may be used to incorporate context into machine learning techniques, improving accuracy and prediction capability. Beginning with an overview and discussion of current research, we will build towards a road map for the deployment of graph-driven machine learning in applications.

Machine learning is the future, so make sure you’re staying ahead of the curve. This free event will show you how companies can generate faster, more accurate results stemming from real-time analysis of bigger, more complex data. You don’t want to miss the latest (and free!) Spark by Go Studio Speaker Series event – so sign up now.

Nov 3, 2021 12:00 PM in Eastern Time (US and Canada)

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