@vfsglobalcare [Urgent] Hi Team β I booked a Schengen Visa appointment for my parents in VFS Hyderabad for 24.03. Once I completed payment (money went through) I was shown this - Neither do I see any draft of appointment in my VFS portal, nor have I got an email. Please help!
I wrote this article that discusses an end-to-end architecture to address infrastructure pain-points so that you can focus on your algorithm and business problem instead of the undifferentiated heavy-lifting.
https://t.co/d9psduw9a8
#aws#ml#aiml#devops#cv#sagemaker#fsx#hpo
π This weekendβs been a busy one brushing-up @awscloud data basics β Got this one out of the way! π Not a big fan of exams, but a great recap of practical concepts from the last couple of years! π #aws#data#aiml#ml#mlops#awscertification
@TK_HelpDesk [2/2]Forget about refunds, extremely ruthless behaviour at the airport where we had to book our own hotels and flights out of pocket. Looking forward to a response from Turkish Airlines.
@TK_HelpDesk Thank you for responding. Your website did not have any email or contact form other than feedback form. Dropping a private message on twitter if that helps.
@TK_HelpDesk [1/2] Extremely poor customer service and trust β Traveling from BER to CCU, we were denied boarding the IST -> DAC flight stating the reason at the boarding gate that Bangladesh has closed borders with India and thus not allowed to transit.
And @awscloud Dev Day ML edition is here! Tune in later today for some interesting talks β See you later at the live Q/A broadcast!
Registration: https://t.co/1fj5VFa62m
Do you have starving GPUs caused by CPU-bottlenecks due to heavy augmentations? Just pushed this @awscloud implementation of SageMaker training with @nvidia DALI to offload your image decoding & pre-processing on GPU and identify bottlenecks with Debugger! https://t.co/BQEXRzGCzX
Decoupling data engineering from data science can be a powerful time-saving practice. This blog explains how you can use SageMaker Data Wrangler, Feature Store and Pipelines to automate data transformation and feature serving in your ML lifecycle. https://t.co/Ld5mY5Z1Bp
From petabyte scale genomics data processing with HPC to extracting complex information from images in ML workloads with SageMaker GroundTruth active learning β that is how AstraZeneca is accelerating drug R&D with AWS.
https://t.co/MPwiCONKgZ
They say that the neurons that store our earliest memories are not wiped out by neurogenesis. Instead, they are thoroughly restructured, which explains why original memories become so difficult to access!
https://t.co/bohfxd6AAM
Praying for families - yours, mine and everyone back home! Covid catastrophe β Indiaβs giant second wave is a disaster for it and the world https://t.co/NVWCs8Vwiy
As ML projects shift from model-centric to data-centric approaches, this is one of the latest blog that proposes a statistical framework on how you can conduct label verification in computer vision problems that have temporal dimensions.
https://t.co/E54ZrEBEd0
One of the favourite blogpost I keep going back - to deal with choice-paralysis while recommending GPU instance-types for a given workload to best optimize performance and cost. https://t.co/5viKJfvuFJ
Shifting focus to MLOps for bringing good-data over big-data through the ML-project lifecycle for delivering successful business value - this one is a nice chat about importance of a systematic process rather than a better model architecture!
https://t.co/nW8nN5c8XD
π΅π± Compiled a blog from Insta-stories due to evolving time priorities - first one in 6-months since the Berlin move! π¬ Drone footages coming soon!
https://t.co/TFlDEEcZX5