Jim Dowling

Broschiertes Buch

Building Machine Learning Systems with a Feature Store

Batch, Real-Time, and LLM Systems

Beschreibung

Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.

Autor

Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He's led the development of Hopsworks that includes the first open-source feature store for machine learning. He has a unique background in the intersection of data and AI. For data, he worked at MySQL and later led the development of HopsFS, a distributed file system that won the IEEE Scale Prize in 2017. For AI, his PhD introduced Collaborative Reinforcement Learning, and he developed and taught the first course on Deep Learning in Sweden in 2016. He also released a popular online course on serverless machine learning using Python at serverless-ml.org. This combined background of Data and AI helped him realize the vision of a feature store for machine learning based on general purpose programming languages, rather than the earlier feature store work at Uber on DSLs. He was the first evangelist for feature stores, helping to create the feature store product category through talks at industry conferences, like Data/AI Summit, PyData, OSDC, and educational articles on feature stores. He is the organizer of the annual feature store summit conference and the featurestore.org community, as well as co-organizer of PyData Stockholm.

Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 506
• Erscheinungstermin: 21. November 2025
• Englisch
• Abmessung: 233mm x 178mm x 26mm
• Gewicht: 852g
• ISBN-13: 9781098165239
• ISBN-10: 1098165233
• Artikelnr.: 74113205