Build a Serverless News Data Pipeline using ML on AWS Cloud
KDnuggets
NOVEMBER 18, 2021
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.
KDnuggets
NOVEMBER 18, 2021
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.
KDnuggets
NOVEMBER 18, 2021
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
O'Reilly Media
SEPTEMBER 15, 2021
In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. We see almost exactly the same thing when we look at data frameworks (Figure 6).
AWS Machine Learning Blog
SEPTEMBER 18, 2024
As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021. In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently.
AWS Machine Learning Blog
MARCH 1, 2023
In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. It was launched in June 2021 and has been ranked within the top three in revenue in Korea.
NOVEMBER 24, 2023
In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.
Mlearning.ai
MARCH 15, 2023
Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.
Let's personalize your content