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DDN Storage Solutions Deliver 700% Gains in AI and Machine Learning for Image Segmentation and Natural Language Processing

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DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced impressive performance results of its AI storage platform for the inaugural AI storage benchmarks released this week by MLCommons Association. The MLPerfTM Storage v0.5

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DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion

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DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced that it has sold more AI storage appliances in the first four months of 2023 than it had for all of 2022.

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Cloud Data Science 4

Data Science 101

It was an exciting cloud data science week. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Choosing the Right ML Tools – This video walks thru the Google Machine Learning Decision Pyramid.

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Cloud Data Science 5

Data Science 101

Welcome to Cloud Data Science 5. There were not as many announcements as last week in Cloud Data Science 4 , but quantity is not what is important. Train and Deploy models using notebooks and Kubernetes on Google Cloud How to use Kubeflow and Google Kubernetes Engine to deploy machine learning.

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Cloud Data Science 10

Data Science 101

The Cloud Data Science world is keeping busy. The first course in the Mastering Azure Machine Learning sequence has been released. It is titled, Building Your First Model with Azure Machine Learning. The post Cloud Data Science 10 appeared first on Data Science 101.

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Cloud Data Science 11

Data Science 101

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines. So, here is the news. This is big for Google.

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Machine learning for automated experimentation in scanning transmission electron microscopy

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Machine learning (ML) has become critical for post-acquisition data analysis in (scanning) transmission electron microscopy, (S)TEM, imaging and spectroscopy. An emerging trend is the transition to real-time analysis and closed-loop microscope operation.