Danielle Dean (@danielleodean) header
Danielle Dean (@danielleodean) profile picture
Boston
Joined August 2012
Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)Photo by Danielle Dean (@danielleodean)
Danielle Dean retweeted
The new Roomba uses AI to avoid smearing dog poop all over your house. “But in order to make this possible, the company first had to create a diverse dataset of poop.” edition.cnn.com/2021/09/09/t…
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Danielle Dean retweeted
This interview was really interesting - @AngeBassa Head of ML and @danielleodean Technical Director of ML got really specific about how @iRobot thinks about building and deploying Machine Learning algorithms wandb.com/podcast/angela-bas…
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Danielle Dean retweeted
Kaolin: A #PyTorch Library for Accelerating 3D #DeepLearning Research Paper: arxiv.org/abs/1911.05063 Project page: github.com/NVIDIAGameWorks/k… – at Toronto, Ontario
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Danielle Dean retweeted
It's our first year exhibiting at Grace Hopper! Stop by and meet the team.
Attending Grace Hopper Celebration this week? Visit Booth 559 to meet Danielle Dean, iRobot’s Technical Director, Machine Learning. We look forward to showcasing our latest technologies & more about #LifeAtiRobot. Interested but not attending #GHC19? Visit bit.ly/2nPXuCf
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Danielle Dean retweeted
I enjoyed this talk by @msalvaris using Dask, @PyTorch, and GPUs on @Azure to accelerate computer vision workloads: developer.download.nvidia.co…
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Danielle Dean retweeted
[NEW] @OReillyAI and @strataconf are getting together in 2020!
in 2020, O’Reilly will be co-locating the AI Conferences with the Strata Data Conferences. Every data scientist needs to see what lies ahead in AI and deep learning - and every AI practitioner needs to understand the data foundation on which they stand. @bigdata #OReillyAI
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Today the Recommenders project appears in @KDnuggets. Thanks Gregory Piatetsky-Shapiro and congrats to all the team Awesome stuff!
Building Recommender systems with Azure Machine Learning service kdnuggets.com/2019/05/recomm…
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Danielle Dean retweeted
Tons of #AzureML updates, including general availability of Hardware Accelerated Models running on @IntelFPGA #MSBuild2019 azure.microsoft.com/blog/new…
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Danielle Dean retweeted
Super informative talk by @FidanBoyluUz and @MSalvaris at #TheAIConf on deploying GPU models to #Kubernetes clusters with #AzureML or #Kubeflow @aronchick
Danielle Dean retweeted
1. Always happy to help! 2. I am going to make a slide of this for “never put in mail what you don’t want seen”
Replying to @danielleodean
@danielleodean putting up @mwinkle's email for the world to see: Getting #AutomatedMachineLearning into #AzureML
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Danielle Dean retweeted
Replying to @danielleodean
@danielleodean putting up @mwinkle's email for the world to see: Getting #AutomatedMachineLearning into #AzureML
Danielle Dean retweeted
Replying to @danielleodean
Great talk @danielleodean today at the #TheAIConf keynote! Exciting to see how improving #CRISPR led to something now available in #AzureML
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Danielle Dean retweeted
Join a Microsoft principal data scientist, @danielleodean , for a conversation about how cloud, data, and #AI helped build automated #Azure ML. See more: msft.social/Q5NTN4
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Danielle Dean retweeted
Here are the slides from my talk on Dask at GTC slideshare.net/secret/nsLRG2… @mrocklin
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Deploying #DeepLearning models using #Kubeflow on ⁦@Azure⁩ - Great article on our Microsoft Azure Medium publication by Fidan Boylu Uz, ⁦@MSalvaris⁩ and ⁦@yanzzhang⁩ link.medium.com/nwhGIITnpV
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Danielle Dean retweeted
Great resource for getting proficient in #deeplearning. You can now run the fast.ai 2019 course notebooks on @Azure Data Science VM (#DSVM) including lower cost preemptable instances on #GPU
Practical Deep Learning for Coders, 2019 edition, is now available. With a shiny new video player with searchable transcripts. This course is 100% new material, including some new techniques and results never previously published. fast.ai/2019/01/24/course-v3…
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