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…
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…
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
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
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…
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
Danielle Dean retweeted
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…
Danielle Dean retweeted
Tons of #AzureML updates, including general availability of Hardware Accelerated Models running on @IntelFPGA #MSBuild2019 azure.microsoft.com/blog/new…
Danielle Dean retweeted
in just ~10 mins, absolutely delightful & insightful keynote by @danielleodean telling the story of #Azure #AutoML : "Automated ML: A journey from CRISPR.ML to Azure ML - Danielle Dean" #MachineLearning
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
Reference #Architectures for #Microsoft #AI workloads buff.ly/2GjjESX #rstats #python #Spark #Kubernetes #Azure
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
Danielle Dean retweeted
Thanks for sharing @danielleodean ..
excellent repository with recommended ways to train and deploy #machinelearning models on #Azure
#ai
#DeepLearning
#Kubernetes
Exciting to see the launch of this centralized repo of AI Reference Architectures for Azure at #TheAIConf #AI github.com/Microsoft/AIRefer…
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
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
Danielle Dean retweeted
Here are the slides from my talk on Dask at GTC slideshare.net/secret/nsLRG2…
@mrocklin
Danielle Dean retweeted
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
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…

































