Seth DeLand, MathWorks
While many organizations are enthusiastic about adopting machine learning techniques, success does not come easily. In this talk, you’ll learn about applications where machine learning generates considerable ROI, including fleet data analysis, energy forecasting, and smart manufacturing. You’ll also see how engineers are integrating machine learning techniques with their controls and signal processing workflows to improve system performance.
Throughout the presentation, you'll discover new features in MATLAB® that accelerate machine learning deployment, including applying automation techniques to feature selection, model selection, and hyperparameter optimization (AutoML). You’ll also learn new ways to integrate machine learning models with production workflows, such as updating deployed models and C/C++ code generation.
This talk will show you how your peers have applied machine learning and inspire you to apply machine learning to your own work.
Recorded: 13 May 2020
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