How to use continual learning in your machine learning models

Presented by

Yochay Ettun

About this talk

In this webinar, data science expert and CEO of Yochay Ettun discusses continual learning in production. This webinar examines continual learning and will help you apply continual learning into your production models using tools like Tensorflow, Kubernetes, and This webinar for professional data scientists will go over how to monitor models when in production, and how to set up automatically adaptive machine learning. Key webinar takeaways: - Understanding of continual learning - Optimizing your models for accuracy with continual learning - How to use TensorFlow, Kubernetes and to apply CL to your models - How you can build automatically adaptive machine learning - Adapting to shifting data distributions - Coping with outliers - Retraining in production - Adapting to new tasks - A/B test your models - Deploying your machine learning pipeline to production

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Learn from various data science and engineering experts about key topics for successful machine learning. will provide you with hands-on tutorials and workshops about the top methods in data science team management, and MLOps getting you from research to production. Stay ahead with the latest developments in auto-adaptive machine learning and CI/CD for machine learning. Learn the latest methods for machine learning model management and deployment with open source tools. Find answers on how to enhance team collaboration in your data science department, and smoothly bridge science to engineering.