machine leanring in the AWS cloud

platform

Att: the following markdown text was generated from the corresponding powerpoint lecture file automatically. Errors and misformatting, therefore, do exist (a lot!)!

Friday, September 18, 2020 at 3:00 PM - 4:00 PM.

AI/ML on Amazon Web Services (AWS)

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting of building and setting up hardware and infrastructure from each step of the machine learning process, so you can focus on your models.

In this session, we will provide you with an overview of the AI/ML stacks on AWS, how machine learning is done on AWS using Amazon SageMaker Studio, and built-in algorithms and new features of SageMaker and SageMaker Studio.

Speaker: Jianjun Xu, PhD

Speaker Bio: Dr. Jianjun Xu was an astrophysicist and a senior software development executive in higher education before he joined AWS as a senior solutions architect working with several large US universities and colleges. He specializes in software development, big data, artificial intelligence (AI) and machine learning (ML), and high performance computing (HPC). Jianjun enjoys interacting with researchers, instructors, students and higher education administrators to discuss challenges, opportunities, and technology solutions in higher education.