Data Science on AWS
Implementing End-to-End, Continuous AI and Machine Learning Pipelines
(Sprache: Englisch)
If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your...
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If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale.The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days.
- Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services
- Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS
- Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack
- Perform advanced analytics on at-rest and streaming data with AWS and Spark
- Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
Autoren-Porträt von Chris Fregly, Antje Barth
Chris Fregly is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is also the founder of the Advanced Spark, TensorFlow, and KubeFlow Meetup Series based in San Francisco. Chris regularly speaks at AI and Machine Learning conferences across the world including the O'Reilly AI, Strata, and Velocity Conferences. Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Apache Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, and Amazon SageMaker. He is also the author of the O'Reilly Online Training Series "High Performance TensorFlow in Production with GPUs”Antje Barth is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in Düsseldorf, Germany. She is also co-founder of the Düsseldorf chapter of Women in Big Data Meetup. Antje frequently speaks at AI and Machine Learning conferences and meetups around the world, including the O'Reilly AI and Strata conferences. Besides ML/AI, Antje is passionate about helping developers leverage Big Data, container and Kubernetes platforms in the context of AI and Machine Learning. Prior to joining AWS, Antje worked in technical evangelist and solutions engineering roles at MapR and Cisco.
Bibliographische Angaben
- Autoren: Chris Fregly , Antje Barth
- 2021, XIX, 500 Seiten, Maße: 17,4 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1492079391
- ISBN-13: 9781492079392
Sprache:
Englisch
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