10X Faster Machine Learning: From R&D to Production

Discover how to accelerate machine learning processes from research and development to production in this comprehensive conference talk. Learn from three expert speakers as they share insights on overcoming challenges in complex ML model experimentation and productionization. Explore cutting-edge solutions proposed by the ML community to facilitate industry adoption of advanced models. Gain practical knowledge on supercharging your machine learning experimentation pipeline using tools like PyTorch Lightning and DVC. Understand how to streamline your path to production with Kubeflow and its add-ons. Benefit from the speakers' extensive experience in applied research, machine learning engineering, and building scalable ML pipelines. Dive into topics such as transfer learning, computer vision, state-of-the-art deep learning architectures, and large-scale solutions. Acquire valuable skills to make your ML processes up to 10 times faster and more efficient, from initial research to final deployment.