{"product_id":"practical-machine-learning-on-databricks-seamlessly-transition-ml-models-and-mlops-on-databricks-9781801812030","title":"Practical Machine Learning on Databricks: Seamlessly transition ML models and MLOps on Databricks","description":"\u003cp\u003e\u003cstrong\u003eTake your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovations\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eLearn to build robust ML pipeline solutions for databricks transition\u003c\/li\u003e\n\u003cli\u003eMaster commonly available features like AutoML and MLflow\u003c\/li\u003e\n\u003cli\u003eLeverage data governance and model deployment using MLflow model registry\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eUnleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform.\u003c\/p\u003e\u003cp\u003eYou'll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you'll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You'll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eTransition smoothly from DIY setups to databricks\u003c\/li\u003e\n\u003cli\u003eMaster AutoML for quick ML experiment setup\u003c\/li\u003e\n\u003cli\u003eAutomate model retraining and deployment\u003c\/li\u003e\n\u003cli\u003eLeverage databricks feature store for data prep\u003c\/li\u003e\n\u003cli\u003eUse MLflow for effective experiment tracking\u003c\/li\u003e\n\u003cli\u003eGain practical insights for scalable ML solutions\u003c\/li\u003e\n\u003cli\u003eFind out how to handle model drifts in production environments\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for experienced data scientists, engineers, and developers proficient in Python, statistics, and ML lifecycle looking to transition to databricks from DIY clouds. Introductory Spark knowledge is a must to make the most out of this book, however, end-to-end ML workflows will be covered. If you aim to accelerate your machine learning workflows and deploy scalable, robust solutions, this book is an indispensable resource.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eML Process and Challenges\u003c\/li\u003e\n\u003cli\u003eOverview of ML on Databricks\u003c\/li\u003e\n\u003cli\u003eUtilizing Feature Store \u003c\/li\u003e\n\u003cli\u003eUnderstanding MLflow Components\u003c\/li\u003e\n\u003cli\u003eCreate a Baseline Model for Bank Customer Churn Prediction Using AutoML\u003c\/li\u003e\n\u003cli\u003eModel Versioning and Webhooks\u003c\/li\u003e\n\u003cli\u003eModel Deployment Approaches\u003c\/li\u003e\n\u003cli\u003eAutomating ML Workflows Using the Databricks Jobs\u003c\/li\u003e\n\u003cli\u003eModel Drift Detection for Our Churn Prediction Model and Retraining\u003c\/li\u003e\n\u003cli\u003eCI\/CD to Automate Model Retraining and Re-Deployment.\u003c\/li\u003e\n\u003c\/ol\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50403033678098,"sku":"9781801812030","price":41.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_609e1b98-7828-4ea3-a539-5448b36cc5da.jpg?v=1740413100","url":"https:\/\/surprise-castle.myshopify.com\/products\/practical-machine-learning-on-databricks-seamlessly-transition-ml-models-and-mlops-on-databricks-9781801812030","provider":"Surprise Castle","version":"1.0","type":"link"}