The Rayven Platform's Machine Learning Studio
enables you to not only create, train and deploy any Python-based algorithm into your custom applications using our Workflow Builder, but also to model and test them against each other to see which works best - all via an easy-to-use drag-and-drop interface.
Our Machine Learning Studio comes pre-built into the Rayven Platform and enables non-developers and Data Scientists alike to dig deeper into their data and add accurate predictive analytics in their custom applications, delivering maximum value to their end users and customers.
Getting your Machine Learning model looking at past data and suggesting optimisations is one thing, but training it to tell you what’s about to happen in real-time based on how you’re operating at that moment can be transformative.
Rayven will help you to:
- Define your goals, identify the data that affects it and where it's stored and how to get to it in real-time.
- We combine and integrate existing, historical, training, human-entered, static and real-time data flow to build a repository.
- Create data visualizations + dashboards to support pre-processing and simulation.
- Pre-process your data. Conduct data validation, cleansing, sifting, decomposition, filtering, ordering, spectral decompression to determine what is relevant and establish parameters for the future.
- We build the data model that your algorithm will be based on or import yours.
- Build the algorithm based on your desired outcomes.
- Deploy the model in our simulator and run it with your data to train your algorithm and check it's correct.
- We deploy it into your solution, ensuring it’s working.
- Over time and with larger data repositories, we can fine-tune your model, trial new ones, or add additional use cases.
