5 Common Mistakes in Machine Learning and How to Avoid Them
Image by Author Using machine learning to solve real-world problems is exciting. But most eager beginners jump straight to model…
Machine Learning
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Instance Optimal Private Density Estimation in the Wasserstein Distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein…
Amazon SageMaker inference launches faster auto scaling for generative AI models
Today, we are excited to announce a new capability in Amazon SageMaker inference that can help you reduce the time…
Tips for Effective Feature Engineering in Machine Learning
Image by Author Feature engineering is an important step in the machine learning pipeline. It is the process of transforming…
Federated Learning With Differential Privacy for End-to-End Speech Recognition
*Equal Contributors While federated learning (FL) has recently emerged as a promising approach to train machine learning models, it is…
Mistral Large 2 is now available in Amazon Bedrock
Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. Mistral Large 2 is…
5 Tips for Getting Started with Deep Learning
Image by Author | Midjourney Deep learning is a subset of machine learning that has become a cornerstone in many…
Samplable Anonymous Aggregation for Private Federated Data Analytics
We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its…
Metadata filtering for tabular data with Knowledge Bases for Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence…
Principles of Reinforcement Learning: An Introduction with Python
Image by Editor | Midjourney Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make…