AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. Building a robust MLOps pipeline demands cross-functional collaboration.

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AWS ML ML Data Preparation 105

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow. in these fields.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The web application front-end is hosted on AWS Amplify.

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AWS AI AI Data Silos 99

AWS Machine Learning Blog

MAY 7, 2024

SageMaker JumpStart is a machine learning (ML) hub with foundation models (FMs), built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks. SageMaker JumpStart tools and services facilitate this process, making it accessible for individuals and teams across all levels of ML expertise.

ML 100

ML ML Natural Language Processing AWS 100

AWS Machine Learning Blog

SEPTEMBER 21, 2023

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab , build an active learning framework on AWS to automate the processing of passenger documents. “In The process relies on manual annotations to train ML models, which are very costly.

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AWS Machine Learning Machine Learning ML 102

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Machine Learning 52

Machine Learning Machine Learning AI AI 52