Rad AI Case Study-Boost ML Performance Reduce Failures & Enhance Testing

Learn how Rad AI boosted ML performance and minimized failures in this webinar presenting a real-life case study with Anjali Balagopal, Rad AI’s Senior Machine Learning Engineer.
Skip Everling, Kolena DevRel, will be chatting with her and gaining insights on:
Understanding Common Pitfalls: Delve into the frequent causes of model failures in ML projects and learn how to anticipate and mitigate these issues early in the development phase.
Efficient Testing Methodologies: Discover cutting-edge testing methodologies that can significantly reduce your time-to-market while ensuring your model's reliability and performance.
Best Practices in Model Development: Learn the best practices for ML model development, including data preprocessing, feature selection, and model selection, to enhance your model's accuracy and efficiency.
Website: www.kolena.com/
Linkedin: / kolena-ai
Twitter: / kolenaio
KZbin: / @kolenaio

[@mehradsl]

Thank you for sharing this. Very insightful.