Cargando…

MLOps talks I want to attend at re:Invent 2021 : /

Talks I want to attend virtually at re:Invent 2021 include: Machine Learning Opportunities for Underrepresented Groups ABW001 MLOps at Amazon: How to productionize ML workloads at scale AMZ302 Serverless ML: Machine learning without managing machines SVS313 Large-scale distributed training of media...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor Corporativo:	Amazon Reinvent
Formato:	Electrónico Congresos, conferencias Video
Idioma:	Inglés
Publicado:	[Place of publication not identified] : Pragmatic AI Solutions, [2021]
Edición:	[First edition].
Temas:	Amazon Web Services (Firm) Machine learning. Apprentissage automatique. Webcast Instructional films. Internet videos. Nonfiction films. Films de formation. Films autres que de fiction. Vidéos sur Internet.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

MLOps for containers with AWS and GCP /
Publicado: (2021)

MACHINE LEARNING ENGINEERING ON AWS building, scaling, and securing machine learning systems and MLOps pipelines in production /
por: Lat, Joshua Arvin
Publicado: (2022)

MACHINE LEARNING ENGINEERING ON AWS building, scaling, and securing machine learning systems and MLOps pipelines in production /
por: Lat, Joshua Arvin
Publicado: (2022)

Amazon SageMaker Best Practices Proven Tips and Tricks to Build Successful Machine Learning Solutions on Amazon SageMaker.
por: Muppala, Sireesha
Publicado: (2021)

Intelligent Document Processing with AWS AI/ML A Comprehensive Guide to Building IDP Pipelines with Applications Across Industries /
por: Sahu, Sonali
Publicado: (2022)

No-code machine learning using Amazon AWS SageMaker Canvas.
Publicado: (2022)

Introduction to Amazon machine learning : learn how to build data driven predictive applications with Amazon Web Services (AWS) /
Publicado: (2017)

Deploying Spark ML pipelines in production on AWS : how to publish pipeline artifacts and run pipelines in production /
Publicado: (2017)

Amazon machine learning /
Publicado: (2019)

Pretrain Vision and Large Language Models in Python End-To-end Techniques for Building and Deploying Foundation Models on AWS /
por: Webber, Emily
Publicado: (2023)

Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS /
por: Tripuraneni, Subhashini, et al.
Publicado: (2019)

Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS /
por: Tripuraneni, Subhashini, et al.
Publicado: (2019)

SageMaker Studio Lab first thoughts : Amazon SageMaker Studio Lab /
Publicado: (2021)

Using AWS Sagemaker.
Publicado: (2021)

Machine learning fundamentals with Amazon SageMaker on AWS : LiveLessons /
Publicado: (2020)

Machine Learning in the AWS Cloud Add Intelligence to Applications with AWS SageMaker and AWS Rekognition.
por: Mishra, Abhishek
Publicado: (2019)

Beginning machine learning with AWS /
por: Jackovich, Jeffrey, et al.
Publicado: (2019)

End-to-end machine learning : from training a model to deploying to the cloud.
Publicado: (2022)

52 weeks of AWS,
Publicado: (2022)

Getting started with Amazon SageMaker Studio : learn to build end-to-end machine learning projects in the SageMaker machine learning IDE /
por: Hsieh, Michael
Publicado: (2022)

Learn how to build intelligent data applications with Amazon Web Services (AWS) : understanding and using AWS products and services, AWS Data Pipeline, Kinesis Analytics, RDS and Redshift databases, and Amazon Machine Learning /
Publicado: (2017)

Automated machine learning on AWS : fast-track the development of your production-ready machine learning applications the AWS way /
por: Potgieter, Trenton, et al.
Publicado: (2022)

Making reinforcement learning practical for real-world developers /
Publicado: (2019)

52 Weeks of AWS : AWS ML certification,
Publicado: (2022)

Data Science mit AWS : end-to-end pipelines für continuous machine learning implementieren /
por: Fregly, Chris, et al.
Publicado: (2022)

Learn Amazon SageMaker - Second Edition /
por: Simon, Julien
Publicado: (2021)

Serverless machine learning with Amazon Redshift ML : create, train, and deploy machine learning models using familiar SQL commands /
por: Panda, Debu, et al.
Publicado: (2023)

Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS /
por: Tripuraneni, Subhashini, et al.
Publicado: (2019)

AI as a Service
por: Elger, Peter
Publicado: (2020)

Intelligent Workloads at the Edge : Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass.
por: Mitra, Indraneel
Publicado: (2022)

Assimilate Hugging Face.
Publicado: (2022)

Applied Hugging Face.
Publicado: (2022)

Inżynieria danych na platformie AWS : jak tworzyć kompletne potoki uczenia maszynowego /
por: Fregly, Chris, et al.
Publicado: (2022)

Implementing serverless microservices architecture patterns /
Publicado: (2018)

Practical machine learning with AWS : process, build, deploy, and productionize your models using AWS /
por: Singh, Himanshu
Publicado: (2021)

Practical machine learning with AWS : process, build, deploy, and productionize your models using AWS /
por: Singh, Himanshu
Publicado: (2021)

Amazon Redshift : the definitive guide /
por: Francis, Rajesh, et al.
Publicado: (2023)

AWS in action : video edition /
por: Wittig, Michael, 1987-, et al.
Publicado: (2015)

The definitive guide to AWS application integration : with Amazon SQS, SNS, SWF and Step functions /
por: Buddha, Jyothi Prasad
Publicado: (2019)

Natural Language Processing with AWS AI Services
por: M, Mona, et al.
Publicado: (2021)