A Greater Foundation for Machine Learning Engineering: Linear Algebra and Calculus with TensorFlow Who is this presentation for?

This presentation will highlight the essential role of data in the future of AI, particularly in the growth of numerous data-inspired, data-informed, and data-enabled digital technologies, including Robotics, Drones, IoT, 4D-printing, AR/VR, Digital Twins, Autonomous Data-driven Application Systems, and Sustainable Systems. Data science is the methodology by which insights discovery transforms data to action to value, brought to life in autonomous operations at the intelligent edge. As we build the value chain that connects data (inputs) to emerging AI technologies (outcomes), we are building the future of AI.