Not able to use one of the OpenCV command cv2.imshow to view the video in was Aws juypter notebook. It shows error kernel dead please restart the kernal. Please help.
Can I fully implement the pipeline? I mean if I can post an API rest that responds to multiple columns from a pipeline deployed with multiple models and then apply transformations on these predictions as an endpoint.
Great video! If we want to use a 'startup script' to automatically shut down our instances after a certain period of inactivity, where does that script need to be written?
Hi Emily ,nice presentation , I have a business account with you yet I have noticed that - as you have walked us through that we skipped the AMI choice step , is there a reason why this is the case , on the contrary , when I want to launch standard EC2 instance , without chosing sagmaker service , I'm prompted to choose first AMI , is there a meaningful difference between the two procedures ? Looking forward to your response Best
The instructor has a compelling style, she is head and shoulders above most instructors of on-line training, who read from a script and put the audience to sleep. Pity the free tier of AWS doesn't allow running anything interesting, such as the notebook the instructor used in this video: "ResourceLimitExceeded" is a constant. Sure, I could upload a notebook to train on the MNIST dataset, but then what is the point? You don't go to the cloud to train on the MNIST dataset, and on my obsolete GPU it trains faster than with the AWS free tier anyway.
Thank you for your honest feedback. We want our content to be precise and easy to understand. I've gone ahead and shared your feedback internally for review. ✅ ^AR
quoting: "_Sagemaker Python SDK: so again that's an open source library that the sage maker team is developing in order for us to use the methods that they've built._"!!!!! Seriously? Please try a little harder to provide actual value to the people watching your videos.
Why does it always seem to be the case that the technology crowd is so busy having a conversation with itself that it is unable to communicate any of its value effectively to the rest of humanity?
Actually, as a mere "advanced user" with basic Linux chops and some insignificant experience with Jupyter/Python, I actually understood all of this. It was very well explained. This is massively cool. I'm going to build a marketing consultancy with this and make a billion dollars. Thanks AWS!
Great video that covers a lot and goes into a bit of detail where it needs but never gets sidetracked or lost in the weeds.
Had to sign into TH-cam to give this a like. What a fantastic start to this series! Excellent content!
I dont recall lambda was mentioned in the talk. have I missed something? how do I use it to shut-off unused notebooks?
Great tutorial. Very clear and right progression. Thanks for making it and great darth vader sticker :)
Is Amazon going to develop their own tensorcores or continue to use GPU s ?
Not able to use one of the OpenCV command cv2.imshow to view the video in was Aws juypter notebook. It shows error kernel dead please restart the kernal. Please help.
Great job, Emily!
Can I fully implement the pipeline? I mean if I can post an API rest that responds to multiple columns from a pipeline deployed with multiple models and then apply transformations on these predictions as an endpoint.
Hi, I would like to ask, why is space not being freed from disk after deleting a file on SageMaker Studio Lab and how to fix it?
Is there a way to connect VS Code to a Sagemaker notebook instance?
wheree ia that open source github link?? where froom where i get 200 examples access
Great video! If we want to use a 'startup script' to automatically shut down our instances after a certain period of inactivity, where does that script need to be written?
Thanks for the great overview!
Hi Emily ,nice presentation , I have a business account with you yet I have noticed that - as you have walked us through that we skipped the AMI choice step , is there a reason why this is the case , on the contrary , when I want to launch standard EC2 instance , without chosing sagmaker service , I'm prompted to choose first AMI , is there a meaningful difference between the two procedures ?
Looking forward to your response
Best
where to get the notebooks for this
great deep dive!
can we get link to the slides
Great overview!
The instructor has a compelling style, she is head and shoulders above most instructors of on-line training, who read from a script and put the audience to sleep. Pity the free tier of AWS doesn't allow running anything interesting, such as the notebook the instructor used in this video: "ResourceLimitExceeded" is a constant. Sure, I could upload a notebook to train on the MNIST dataset, but then what is the point? You don't go to the cloud to train on the MNIST dataset, and on my obsolete GPU it trains faster than with the AWS free tier anyway.
Thanks for sharing.
Webber from Amazon Web Services... makes sense!
that logo on the laptop :D
way too many jargons in this video. really hard to follow. why does amazon have to come up with a new word for everything!
Thank you for your honest feedback. We want our content to be precise and easy to understand. I've gone ahead and shared your feedback internally for review. ✅ ^AR
Great!
Great...!
does anyone else not like using notebooks, or is it just me?
Tennessee, us infrastructure infiltrated help of aws
thats great
quoting: "_Sagemaker Python SDK: so again that's an open source library that the sage maker team is developing in order for us to use the methods that they've built._"!!!!!
Seriously? Please try a little harder to provide actual value to the people watching your videos.
Why does it always seem to be the case that the technology crowd is so busy having a conversation with itself that it is unable to communicate any of its value effectively to the rest of humanity?
Not trashing this video (which I like), but the comment is salient. I suspect the knowledge gap is astonishingly yawning...
Actually, as a mere "advanced user" with basic Linux chops and some insignificant experience with Jupyter/Python, I actually understood all of this. It was very well explained. This is massively cool. I'm going to build a marketing consultancy with this and make a billion dollars. Thanks AWS!
Why do you need to be this fast ? Please be kind to beginners :-)
please always keep the voice in mono. its really distracting!