Build, Train, and Deploy models with Amazon SageMaker
Speakers:
Stefan Natu - Data Scientist/Machine Learning Specialist & Senior ML Specialist, AWS
Saeed Aghabozorgi - ML Specialist Solutions Architect , AWS
Workshop Materials:
For the top use cases, AWS provides pre-built customizable solutions that can accelerate your ML journey by offering a dataset, AWS CloudFormation template, and reference architecture so you can move quickly from concept to production with just a few clicks. The solutions can be easily modified to work with any dataset. To explore the available solution, visithttps://aws.amazon.com/sagemaker/gett...
Videos and tutorials:
GETTING STARTED VIDEO SERIES: http://bit.ly/sagemaker-getting-start...
TEN-MINUTE TUTORIAL: http://bit.ly/sagemaker-tutorial
ONLINE WORKSHOPS: https://www.getstartedonsagemaker.com/
We also offer live classes with accredited AWS instructors who teach using a mix of presentations, discussion, and hands-on labs. Explore tailored learning paths by role for ML at https://aws.amazon.com/training/learn...
Key Learnings:
Hands-on experience with SageMaker to train and deploy a ML model
Смотрите видео Build, Train, and Deploy models with Amazon SageMaker онлайн, длительностью часов минут секунд в хорошем качестве, которое загружено на канал Toronto Machine Learning Series (TMLS) 16 Август 2023. Делитесь ссылкой на видео в социальных сетях, чтобы ваши подписчики и друзья так же посмотрели это видео. Данный видеоклип посмотрели 187 раз и оно понравилось 2 посетителям.
