Amazon SageMaker

"Complete AWS based AI ML Studio"

What do you like best about Amazon SageMaker? Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps. What do you dislike about Amazon SageMaker? User Interface could be less cluttered and controlled, needs to be more web like. At the moment it looks and feels like a client tool hosted on web. CI CD can be more self managed. What problems is Amazon SageMaker solving and how is that benefiting you? Implement custom and out of ...

"Amazon Sagemaker Benefits"

What do you like best about Amazon SageMaker? I like the endpoint creation which can inference our model through lambda function. Along with Sagemaker I used API gateway as well as to use the model in local environment. What do you dislike about Amazon SageMaker? When I used sagemaker for object detection using py torch then it was not taking the image and I used to resize the image and then pass it to model. But in local it was working without even resizing the image What problems is ...

"I use it often for Data Science Solutions"

What do you like best about Amazon SageMaker? It's really helps in deploying applications faster and in a very convenient way. The pricing is also light on pocket. What do you dislike about Amazon SageMaker? The thing I dislike about Amazon Sagemaker is, we need to remember some of the commands. What problems is Amazon SageMaker solving and how is that benefiting you? Deployment is much easier

"AWS SageMaker for training/deployment of large-scale recommenders"

What do you like best about Amazon SageMaker? SageMaker makes it very easy to train and deploy models. The managed infrastructure allows us to focus on business logic without needing to deal with things like cluster management, autoscaling, etc. What do you dislike about Amazon SageMaker? Sometimes things can be a little overcomplicated to use. For example, the batch transform functionality requires us to write separate inference containers in addition to real-time inference ...

"Sagemaker for image based applications"

What do you like best about Amazon SageMaker? In sagemaker we can have some of basic models and we can create complex AI models and train and test without hassle. What do you dislike about Amazon SageMaker? Sagemaker is not having extensive data for images. What problems is Amazon SageMaker solving and how is that benefiting you? Forecasting of future emission levels

"Can improve the deployment process"

What do you like best about Amazon SageMaker? Unlike GCP its little better to use in my point of view. What do you dislike about Amazon SageMaker? When its coming to own algorithms deployment its little hard comparing to azure. What problems is Amazon SageMaker solving and how is that benefiting you? Machine learning model creation

"Amazon SageMaker review"

What do you like best about Amazon SageMaker? I am exclusively using Amazon SageMaker for both professional and personal usage. The variety of application make Handy while work upon machine learning task. The training and canvas features i've been using for quite some time there application make my ML task faster and productive What do you dislike about Amazon SageMaker? Amazon SageMaker is great platform for Ml task all features and applications are really easy to use. The feature I need ...

"Not great with image input model"

What do you like best about Amazon SageMaker? i like how wonderfully it works based on numbers data or text data. i tried working on it along with other aws products like aws lamda and aws api gateway. and the documents or examples are also good for it What do you dislike about Amazon SageMaker? i wanted to work on passing and image. or video input and get the image output out of it but was not really helpful as it takes the data in excel format and then we have to save it in s3 bucket. it ...

"Utilizing AWS instances for its compute"

What do you like best about Amazon SageMaker? Has GPU options instances to choose from What do you dislike about Amazon SageMaker? Takes a long time to spin up plus setting up a virtual environment within sagemaker is almost impossible What problems is Amazon SageMaker solving and how is that benefiting you? It is allowing for a larger computation power and instances to train machine learning models

"Lots of features for ML Workflows"

What do you like best about Amazon SageMaker? Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc. What do you dislike about Amazon SageMaker? The Sagemaker Pipelines UI is less friendly than other pipeline orchestration tools such as Airflow and Azure. Sagemaker Studio and Image terminals are nowhere as nice as specialized IDEs such as IntelliJ for development purposes What problems is Amazon SageMaker ...