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.

Data Pipeline 397

Data Pipeline AWS ML ML 397

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.

Data Pipeline 209

Data Pipeline AWS ML ML 209

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).

AI 145

AI AI Azure AWS 145

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.

AWS 105

AWS ML ML ETL 105

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.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Hacker News

JUNE 29, 2023

Harnessing that customer data and getting it to the marketing and analytics tools that require it has always been a challenge….until Freshpaint is a Customer Data Platform that powers the entire customer data pipeline and integrates all your tools. We started as part of Y Combinator’s S19 cohort.

Analytics 94

Analytics Analytics Data Pipeline Big Data 94

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52