[Télécharger] Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning de Valliappa Lakshmanan Livre eBook France
Télécharger Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning de Valliappa Lakshmanan Francais PDF
Télécharger "Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning" de Valliappa Lakshmanan Livres En Ligne
Auteur : Valliappa Lakshmanan
Catégorie : Livres anglais et étrangers,Computers & Internet,Computer Science
Broché : * pages
Éditeur : *
Langue : Français, Anglais
Télécharger Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning de Valliappa Lakshmanan Livres Pdf Epub
GitHub - GoogleCloudPlatform/data-science-on-gcp: Source ~ Try out the code on Google Cloud Platform. Try out the code on Qwiklabs. Data Science on the Google Cloud Platform Quest; Data Science on Google Cloud Platform: Machine Learning Quest; Purchase book. Read on-line or download PDF of book. Buy on Amazon. Updates to book. I updated the book in Nov 2019 with TensorFlow 2.0, Cloud Functions, and .
Data Science on the Google Cloud Platform [Book] ~ Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP .
Data Science On The Google Cloud Platform Implementing End ~ Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Author: media.ctsnet-Andrea Faber-2020-09-14-04-55-26 Subject: Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Keywords
Data Science On The Google Cloud Platform Implementing End ~ Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Author: gallery.ctsnet-Erik Kaestner-2020-12-10-04-32-20 Subject: Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Keywords
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Industrial IoT on Google Cloud Platform / Coursera ~ By the end of this course, you’ll be able to: create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep. You'll learn and practice these skills in 7 labs. Then you'll have an .
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What is Azure Machine Learning / Microsoft Docs ~ These models can be consumed and return predictions in real time or asynchronously on large quantities of data. And with advanced machine learning pipelines, you can collaborate on each step from data preparation, model training and evaluation, through deployment. Pipelines allow you to: Automate the end-to-end machine learning process in the cloud
Azure Machine Learning / Microsoft Azure ~ Operationalize at scale with MLOps. MLOps, or DevOps for machine learning, streamlines the machine learning lifecycle, from building models to deployment and management.Use ML pipelines to build repeatable workflows, and use a rich model registry to track your assets. Manage production workflows at scale using advanced alerts and machine learning automation capabilities.
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