Plunk

PLUNK FEATURE: Spotlighting Plunk’s Head of Data Science since there’s been some buzz around his book lately! If you don’t have a copy yet, check out “Practical Deep Learning at Scale with MLflow” by Dr. Yong Liu.

With all the interest surrounding AI and machine learning, there’s no surprise his book is in demand. Dr. Liu breaks down how to build scalable and maintainable deep learning applications using MLflow, a widely-used open source MLOps framework, and multiple state of the art methods and software tools. His book has been highly rated and here’s a glimpse into what some industry leaders are saying:

“Dr. Liu brings a wealth of experience in production machine learning that shines through in every chapter of the book.” Matei Zaharia, Co-founder and Chief Technology Officer at Databricks and Co-Creator of MLflow

“This book is a must for anyone aiming to use deep learning at scale using MLflow, from students to researchers and data scientists.” Jeyan Thiyagalingam, Head of Scientific Machine Learning at Rutherford Laboratory, Science and Technology Facilities, UK

“Deep learning has quickly become a must have for industry grade AI systems. Dr. Liu’s book not only provides an in-depth tutorial—he covers the development operations of building, deploying and maintaining DL models in practical settings.” Steven Gustafson, Chief Scientist & Co-Founder, BigFilter.ai

If you would like a demo of the role that machine learning plays in Plunk’s AI-powered home analytics platform, contact Scott Feldman.