Building Machine Learning Systems with a Feature by Jim Dowling(.ePUB)
File Size: 13.1 MB
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems by Jim Dowling
Requirements: .ePUB reader, 13.1 MB | True/Retail EPUB
Overview: Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop and operate batch, real-time, and agentic ML systems. Author Jim Dowling introduces fundamental principles and practices for developing, testing, and operating ML and AI systems at scale. You’ll see how any AI system can be decomposed into independent feature, training, and inference pipelines connected by a shared data layer. Through example ML systems, you’ll tackle the hardest part of ML systems-the data, learning how to transform data into features and embeddings, and how to design a data model for AI. This book is for data scientists, data engineers, software engineers, and software architects who love to build things and are interested in building ML or AI systems. If you are a data scientist and are tired of the constant refrain of productionizing your models, but are not yet a Docker and Terraform expert, then this book is for you. If you are a data engineer and wonder what all the fuss is about AI, then this book is for you. ML engineers will also enjoy the exercises that will enable them to refine their ML system design, pipeline building skills, and offline and online testing. You should have some experience in Python and SQL to get the most out of the exercises.
Genre: Non-Fiction > Tech & Devices
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