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Machine learning at scale Features

Machine learning at scale Features. Machine learning at scale is a website that provides insights into machine learning systems from top tech companies. It offers articles and newsletters discussing various topics related to machine learning at a large scale, including distributed training, feature stores, deploying on-device models, robustness against adversarial examples, different roles in the industry, and more.

Machine learning at scale's Core Features

Email newsletter with members-only content

In-depth articles on machine learning systems at scale

Insights from top tech companies

Topics include distributed training, feature stores, on-device models, robustness against adversarial examples, and more

Machine learning at scale's Use Cases

Gaining insights into machine learning systems at a large scale

Learning about distributed training frameworks

Understanding the challenges and solutions of deploying on-device machine learning models

Exploring techniques for robustness against adversarial examples

Discovering different roles in the machine learning industry

Staying updated with the latest trends and developments in machine learning

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