Rate this book
What to read after Practical Machine Learning on Databricks?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Practical Machine Learning on Databricks" by Debu Sinha! 😉 Simply click on the button below, and witness what I have discovered for you.
Practical Machine Learning on Databricks
Seamlessly transition ML models and MLOps on Databricks
Debu Sinha
Take your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovations
Key Features- Learn to build robust ML pipeline solutions for databricks transition
- Master commonly available features like AutoML and MLflow
- Leverage data governance and model deployment using MLflow model registry
- Purchase of the print or Kindle book includes a free PDF eBook
- Transition smoothly from DIY setups to databricks
- Master AutoML for quick ML experiment setup
- Automate model retraining and deployment
- Leverage databricks feature store for data prep
- Use MLflow for effective experiment tracking
- Gain practical insights for scalable ML solutions
- Find out how to handle model drifts in production environments
Are you curious to discover the likelihood of your enjoyment of "Practical Machine Learning on Databricks" by Debu Sinha? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.