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4:58 Video length is 4:58.
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Deploying Big Data Applications to Spark

Import three years of New York City taxi fare data from a Hadoop® Distributed File System (HDFS) into a MATLAB®tall table. Then use Statistics and Machine Learning Toolbox™ to predict fares based on location and time of day in the city. The algorithm scales automatically to multiple cores on your local computer or a compute cluster using Parallel Computing Toolbox™. With MATLAB Compiler™, the algorithm is deployed to an Apache Spark™ cluster with minimal changes needed to the code.

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Using MATLAB with Big Data from Sensors and IoT Devices

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A Practical Guide to Deep Learning: From Data to Deployment

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Bridging Wireless Communications Design and Testing with MATLAB

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Deep Learning and Traditional Machine Learning: Choosing the Right Approach

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Hardware-in-the-Loop Testing for Power Electronics Control Design

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Predictive Maintenance with MATLAB

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Electric Vehicle Modeling and Simulation - Architecture to Deployment : Webinar Series

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