Remove 2025 Remove Data Preparation Remove ML
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Discover how nonprofits can utilize no-code machine learning with Amazon SageMaker Canvas

Flipboard

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.

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AI annotation jobs are on the rise

Dataconomy

The importance of data annotation becomes even more apparent when we consider the staggering rate at which data is generated today. By 2025, a mind-boggling 463 exabytes of data will be created daily worldwide. Faulty data can introduce biases and lead to inaccurate predictions by AI systems.

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15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

Amber Roberts, Staff Technical Marketing Manager at Databricks Prior to her time at Databricks, Amber was the ML Growth Lead at Arize AI, where she leaned on her years of experience building models as a data scientist and machine learning engineer. Learn more about ODSC East 2025 here and use this link for an additional 10%off.

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Serverless Machine Learning in AWS: Lambda + Step Functions Guide

How to Learn Machine Learning

Introduction to Serverless Machine Learning in AWS Serverless computing reshapes machine learning (ML) workflow deployment through its combination of scalability and low operational cost, and reduced total maintenance expenses. In this article we will speak about Serverless Machine learning in AWS, so sit back, relax, and enjoy!

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Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency

AWS Machine Learning Blog

Preparing your data Effective data preparation is crucial for successful distillation of agent function calling capabilities. Amazon Bedrock provides two primary methods for preparing your training data: uploading JSONL files to Amazon S3 or using historical invocation logs. Notably, the Llama 3.1

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Top Data Analytics Trends Shaping 2025

Pickl AI

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. billion in 2022, it is projected to surge to USD 279.31

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AI Development Lifecycle Learnings of What Changed with LLMs

ODSC - Open Data Science

Common Pitfalls in LLM Development Neglecting Data Preparation: Poorly prepared data leads to subpar evaluation and iterations, reducing generalizability and stakeholder confidence. Real-world applications often expose gaps that proper data preparation could have preempted. Evaluation: Tools likeNotion.