Cargando…

Enterprise MLOps Interviews.

Enterprise MLOps Interviews Learn Enterprise MLOps from the experts This video series interviews the experts at MLOps to learn how to use MLOps to build and deploy ML models. Interviews Include: Introduction GPT-3: O'Reilly authors Shubham Saboo and Sandra Kublik: I talk with the authors of the...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Formato:	Electrónico Video
Idioma:	Inglés
Publicado:	[Place of publication not identified] : Pragmatic AI Solutions, [2022]
Edición:	[First edition].
Temas:	Machine learning. Cloud computing. Apprentissage automatique. Infonuagique. Cloud computing Machine learning Instructional films Internet videos Nonfiction films Instructional films. Nonfiction films. Internet videos. Films de formation. Films autres que de fiction. Vidéos sur Internet.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Cutting edge MLOps from zero with Hugging Face and OpenAI.
Publicado: (2022)

Beginning MLOps with MLFlow : deploy models in AWS SageMaker, Google Cloud, and Microsoft Azure /
por: Alla, Sridhar, et al.
Publicado: (2021)

Machine learning with BigQuery ML create, execute, and improve machine learning models in BigQuery using standard SQL queries /
por: Marrandino, Alessandro
Publicado: (2021)

MLOps platforms from zero : databricks, MLFlow/MLRun/SKLearn.
Publicado: (2022)

Building machine learning and deep learning models on Google Cloud Platform : a comprehensive guide for beginners /
por: Bisong, Ekaba
Publicado: (2019)

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

52 weeks of live coding MLOps.
Publicado: (2022)

Machine learning approach for cloud data analytics in IoT /
Publicado: (2021)

Applied machine learning with BigQuery on Google Cloud /
Publicado: (2021)

Getting started with machine learning in the cloud : using cloud-based platforms to discover new business insights /
por: LaPlante, Alice, 1958-
Publicado: (2019)

Effective Amazon machine learning : machine learning in the Cloud /
por: Perrier, Alexis
Publicado: (2017)

Effective Amazon machine learning : machine learning in the Cloud /
por: Perrier, Alexis
Publicado: (2017)

ACCELERATE DEEP LEARNING WORKLOADS WITH AMAZON SAGEMAKER train, deploy and scale deep learning models effectively using Amazon Sagemaker /
por: Dabravolski, Vadim
Publicado: (2022)

Hugging Face for MLOps.
Publicado: (2023)

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)

Mastering Azure machine learning : execute large-scale end-to-end machine learning with Azure /
por: Körner, Christoph, et al.
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)

Nyūmon kikai gakushū paipurain : TensorFlow de manabu wāku furō no jidōka /
por: Hapke, Hannes Max, et al.
Publicado: (2021)

Building machine learning pipelines : automating model life cycles with TensorFlow /
por: Hapke, Hannes Max, et al.
Publicado: (2020)

Assimilate Databricks ML certification.
Publicado: (2022)

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

An introduction to machine learning models in production : how to transition from one-off models to reproducible pipelines /
Publicado: (2017)

Machine learning in production : developing and optimizing data science workflows and applications /
por: Kelleher, Andrew, et al.
Publicado: (2019)

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

Machine Learning with Amazon SageMaker Cookbook /
por: Lat, Joshua
Publicado: (2021)

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

Applications of Machine Learning in Big-Data Analytics and Cloud Computing
por: Pani, Subhendu Kumar
Publicado: (2021)

Ji qi xue xi liu shui xian shi zhan = Building machine learning pipelines /
por: Hapke, Hannes Max, et al.
Publicado: (2021)

Pragmatic AI : an introduction to cloud-based machine learning /
por: Gift, Noah
Publicado: (2019)

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

MLOps packaging : HuggingFace and Docker.
Publicado: (2022)

Achieving real business outcomes from artificial intelligence : enterprise considerations for AI initiatives /
por: Kureishy, Atif, et al.
Publicado: (2018)

Hands-On Machine Learning on Google Cloud Platform : Implementing smart and efficient analytics using Cloud ML Engine.
por: Ciaburro, Giuseppe
Publicado: (2018)

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

Building intelligent cloud applications : develop scalable models using serverless architectures with Azure /
por: Herrera García, Vicente, et al.
Publicado: (2019)

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)

Practical artificial intelligence in the Cloud : exploring AI-as-a-service for business and research /
por: Barlow, Mike
Publicado: (2016)

Practical MLOps : operationalizing machine learning models /
por: Gift, Noah
Publicado: (2021)