Practical Machine Learning for Engineers
Deep dive into ML's impact on engineering: applications, breaking barriers, future tools, and trends.
Details
In this webinar, you'll discover how to integrate machine learning into classification and regression tasks for CAD files, particularly useful when the relationship between inputs and outputs is complex and hard to define through conventional methods. You will explore practical examples of classification and regression tasks, such as predicting specific outcomes from certain input conditions in engineering applications. Additionally, the webinar will highlight the use of Synera's design exploration capabilities to generate multiple designs and their corresponding feature datasets. Finally, you'll be guided through a step-by-step demo on generating datasets, training classification and regression models, and making predictions using Synera's low-code platform.
During the recorded session, you can discover:
- The application of low-code platforms in performing machine-learning tasks for CAD data.
- How to build workflows visually using Synera's low-code language tailored for engineers.
- A step-by-step guide on generating datasets, training classification and regression models, and making predictions using Synera's low-code platform.
- Insights on advanced customization for handling null values, tuning hyperparameters, and integrating custom scripts within Synera.
Who is this webinar recording for?
- Engineers and professionals involved in CAD design, simulation, and manufacturing
- Individuals looking to automate repetitive and manual tasks in product development
- Engineers and technical professionals seeking to enhance collaboration and efficiency in their workflows
