Case studies, best practices on creating data driven products, integrating data science into existing solutions
Setting up reproducible training, all the parts of setting up, managing data pipelines, monitoring, testing, etc
Machine learning for specific use-cases
Latest trends in transferring learning & practical advises on fine-tuning of huge models for specific use cases
We are looking for practical up-to-date talks. If you are a Data Science, Machine Learning, AI developer and want to perform and share your experience, please, fill out the form by 10 January.