Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch - Tapa blanda

Polak, Adi

 
9781098106829: Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
Tapa blanda
ISBN 10: 1098106822 ISBN 13: 9781098106829
Editorial: O'Reilly Media, 2023

Sinopsis

Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better.

Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book shows you when and why to use each technology.

You will:

  • Explore machine learning, including distributed computing concepts and terminology
  • Manage the ML lifecycle with MLflow
  • Ingest data and perform basic preprocessing with Spark
  • Explore feature engineering, and use Spark to extract features
  • Train a model with MLlib and build a pipeline to reproduce it
  • Build a data system to combine the power of Spark with deep learning
  • Get a step-by-step example of working with distributed TensorFlow
  • Use PyTorch to scale machine learning and its internal architecture

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

As Vice President of Developer Experience at Treeverse, Adi Polak shapes the future of data & ML technologies for hands-on builders. She also contributes to the lakeFS open-source, a git-like interface for object stores. In her work, Adi brings her vast industry research and engineering experience to bear in educating and helping teams design, architect, and build cost-effective data systems and machine learning pipelines that emphasize scalability, expertise, and business goals. Adi is a frequent worldwide presenter and the author of O'Reilly's upcoming book, "Machine Learning With Apache Spark." She is continually an invited member of multiple program committees and advisor for conferences like Data & AI Summit, Scale by the Bay, and others. Previously, Adi was a senior manager for Azure at Microsoft, where she focused on building advanced analytics systems and modern architectures. When Adi isn't building data pipelines or thinking up new software architecture, you can find her on the local cultural scene or at the beach.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
O'Reilly Media
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1098106822
ISBN 13 
9781098106829
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
291
Contacto del fabricante
no disponible
Persona responsable
no disponible