#microsoftdatasciencevirtualmachine 搜索结果
Parece que Azure y Firefox no se llevan bien... #MicrosoftDataScienceVirtualMachine #MicrosoftRServer #rstats
Featuring @nvidia Omniverse libraries, NVIDIA CUDA-X libraries, @Microsoft Azure, and accelerated Synopsys physics, it has demonstrated ability to expand the accessibility of simulation-driven insight Read more: dqindia.com/esdm/synopsys-… #Dataquest #synopsys #microsoft #digital
Build AI-ready apps with vector search in C#, Python & Node.js—powered by IVF, HNSW & Microsoft’s DiskANN. msft.it/6012tZI06 #DocumentDB #AzureCosmosDB #VectorSearch #AI #OpenSource #CSharp #Python #NodeJS #DiskANN #HNSW #IVF I #Ignite2025 #msftadvocate
Is your infrastructure giving you a competitive advantage? Read this blog showcasing the @Microsoft Intelligent Data Platform that lets you take advantage of integrated advanced analytics and the latest #AI tools. stuf.in/bhl4sq
🔥 Microsoft once again showing off the power of synthetic data for human-centric computer vision! Showing how you can use it for: - 🧐 Depth Prediction - ↗️ Normal Estimation - 👤 Background Segmentation Synthetic data has pixel-perfect label accuracy and is nearly…
We're thrilled to announce the release of MatterSimV1-1M and MatterSimV1-5M on GitHub. These cutting-edge models are now available for researchers, developers, and innovators to explore, customize and build upon. msft.it/6013oBZLt
【デモで学ぶ！データ活用を始めるために企業がとるべきはじめの第一歩】 本ウェビナーでは、 #マイクロソフト のデータ・ #AI 活用のビジョンと共に、データガバナンスとアナリティクスの二刀流を実現するプラットフォームをご紹介します。 ▼オンデマンド 無料配信中！ msft.it/6015bX4ob
For years, @Vestas wanted to optimize its wind turbines against wake turbulence but lacked the ability to develop the models. Learn how it found the processing power and AI capabilities it needed with @minds_ai DeepSim, #AzureHPC, and #AzureMachineLearning
DeepSpeed continues to innovate, making its tools more powerful while broadening its reach. Learn how it now powers 10x bigger model training on one GPU, 10x longer input sequences, 5x less communication volume, & scales to train trillion-parameter models: aka.ms/AA9nhg8
A free Data Science course from Microsoft. You'd learn: - Data science processes - Data exploration & visualization - Introduction to machine learning Link: tiny.cc/knwdmz
Researchers at @MSFTResearchCam have released Python code and data for their work using machine learning to efficiently parameterize prescribed and neural dynamical systems models. Explore variational inference for hierarchical dynamical systems: aka.ms/AA6406a
Data Science in #VSCode using Neuron... a new, lightweight, intuitive, extension for those of you incorporating data science into your repertoire as it tightly integrates the visual perks of Jupyter with our amazing cross-platform code editor - msft.social/OV535O
Announcing Microsoft #Research Open Data: A game changing, #Azure based, #datascience platform for sharing datasets microsoftopendata.com
We're excited to announce the launch of Microsoft Research Open Data! This single, cloud-hosted location offers datasets representing many years of data curation and research efforts by Microsoft. Learn how it works: aka.ms/Blrplr
#MSFTConnect Session On Demand: Machine learning & #AI w/ #dotNET, msft.social/5nnyK7 - See how we are innovating in the machine learning & #AI space across the #dotNET stack with a new library.
Make it easy for Machine Learning library vendors... Introducing #Tensor for multi-dimensional Machine Learning & #AI data: msft.social/V3eYmo
See how #VisualStudio can be used to do data science, and help you create great apps for the future - Watch how: msft.social/555axH
Want to start building for Data Science In Visual Studio? There’s a Visual Studio package for that! Check it out: msft.social/9nwxgk
Need an excellent set of resources for understanding Data Science and Machine Learning? Here you go: msft.social/CtEu5M
You can now test drive Microsoft's #DataScience Virtual Machine for free: eweek.com/cloud/microsof… #BigData #MachineLearning #DSVM
Parece que Azure y Firefox no se llevan bien... #MicrosoftDataScienceVirtualMachine #MicrosoftRServer #rstats
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