Predictive Analytics with Amazon SageMaker

  Рет қаралды 22,235

Amazon Web Services

Amazon Web Services

Күн бұрын

Register for our upcoming webinars at - amzn.to/2EP8J5F.
This webinar focus on using Amazon SageMaker to achieve actionable predictions and create smart applications. Find out how Amazon SageMaker provides you with the tools to easily create machine learning models without the need for deep ML expertise in the underlying algorithms and technology. During this session, you will learn about how to build and train a machine learning model using Amazon SageMaker’s one-click training and highly optimized ML algorithms with built-in model tuning, and we will show you how to then deploy machine learning models at scale without engineering effort.
Speaker:
Steve Shirkey, Specialist Solution Architect, Amazon Web Services

Пікірлер: 5
@vashi18
@vashi18 5 жыл бұрын
Excellent Presentation!
@Oscar-if6lq
@Oscar-if6lq 5 жыл бұрын
Hi, quick question. At 37:50 you suggest not using an overpowered instance for your notebook, as you spin up other instances once you actually deploy your training. I was using SageMaker yesterday and was having errors while using a t2.medium, so had to switch to a m4.xlarge. Do you know why this might have been the case? I obviously don't want to pay for a more powerful machine than I need.
@prashanthkolaneru3178
@prashanthkolaneru3178 4 жыл бұрын
I already had a pre-trained model on pc now can i load in AWS
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