you have data from sensors and other devices. you know you can use machine learning to predict outcomes, and you want to build a real-time system that uses a predictive model.
where do you start? a matlab® workflow can help.
read this white paper to learn the what and how of predictive analytics:
- decision automation systems: embedded predictive models in self-driving vehicles and hvac systems
- decision support systems: predictive maintenance of jet engines and industrial equipment
- predictive analytic methods: machine learning, deep learning, regression, clustering and more.
- big data and big technical data: innovative analytics systems based on sensor, video, audio telemetry and business transaction data
- do-it-yourself data science: how engineers build and deploy predictive analytics without help from data scientists
- four basic steps: for building a predictive analytics application and putting it into production
- illustrative examples: case studies including shell chemical, safran, buildingiq, and cornell university