AWS Machine Learning Blog

APRIL 5, 2024

Solution workflow In this section, we discuss how the different components work together, from data acquisition to spatial modeling and forecasting, serving as the core of the UHI solution. Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020.

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Clustering ML ML AWS 132

Applied Data Science

AUGUST 2, 2021

Automation Automating data pipelines and models ➡️ 6. First, let’s explore the key attributes of each role: The Data Scientist Data scientists have a wealth of practical expertise building AI systems for a range of applications. The Data Engineer Not everyone working on a data science project is a data scientist.

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Data Science Data Scientist ML ML 130

phData

NOVEMBER 9, 2023

In this blog, we’ll explain what makes up the Snowflake Data Cloud, how some of the key components work, and finally some estimates on how much it will cost your business to utilize Snowflake. What is the Snowflake Data Cloud?

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Data Warehouse Data Lakes Clustering Cloud Data 98

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Learning means identifying and capturing historical patterns from the data, and inference means mapping a current value to the historical pattern. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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AWS ML ML Clustering 112

Heartbeat

JANUARY 5, 2024

Introduction to LangChain for Including AI from Large Language Models (LLMs) Inside Data Applications and Data Pipelines This article will provide an overview of LangChain, the problems it addresses, its use cases, and some of its limitations. Python : Great for including AI in Python-based software or data pipelines.

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AI AI Data Pipeline Deep Learning 52

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

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Database AWS ETL SQL 158

The MLOps Blog

DECEMBER 28, 2022

ML collaboration and timely evaluation of system design Thanks to Abhishek Rai, a data scientist with Gigaforce Inc, for collaborating with me on this interview post and reviewing it before it was published. Team composition The team comprises domain experts, data engineers, data scientists, and ML engineers.

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ML ML Data Scientist Machine Learning 78