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Videos 3.5: Watson Machine Learning Accelerator (Chinese)

更多资源详见 http://ibm.biz/deep-learning . Accelerate deep learning in notebooks 本视频将展示如何通过notebook使用 Watson Machine Learning Accelerator API加速 GPU 上的深度学习模型训练 Balance deep learning workloads with Elastic Distributed Training 本视频向您展示如何在Cloud Pak for...



Library Entry
Videos 3.5: Watson Machine Learning Accelerator

Watson Machine Learning Accelerator is available as a part of the Watson Studio family of AI tools on Cloud Pak for Data. It is a GPU accelerated deep learning service that allows you to share GPU resources across business units and deliver faster training results. Find more resources at http:...




Library Entry
Videos v3.5: Watson Studio basics

Watson Studio provides the data science features in a collaborative environment for data scientists, developers, and domain experts to explore, analyze, and model data. Create a Watson Studio project from a zipped file and from a GitHub repository Watch this video to see how to create a Watson...


Blog Entry
Creating a better battery with machine learning

Improving batteries has been continuously hampered by slow experimentation and exploration processes. Machine learning is advancing it up by orders of magnitude. One of the many difficulties in discovering how long any battery will be helpful is that it’s challenging to make that...

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Blog Entry
How Watson Assistant and Discovery are Stabilizing the 2020 Election

If there's one thing most people would agree 2020 has become synonymous with, it's uncertainty. Uncertainty in the workplace...uncertainty with toilet paper...and even uncertainty in democracy. General fears about individual health, the fate of the USPS in flux, a shortage of poll workers, and...

Isaiah Brown's profile image

Library Entry
Deploy Cloud Pak for Data on various platforms

IBM Cloud Pak for Data can be deployed on Amazon Web Services, Microsoft Azure, and IBM Cloud. On Amazon Web Services On IBM Cloud On Microsoft Azure Using Terraform From Red Hat Marketplace Deploy Cloud Pak for Data on Amazon Web Services Watch this video to see the complete...