Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
Get started with machine learning quickly with hands-on tutorials that help you learn the basics of machine learning, start training reinforcement learning models and test them. The course starts off by orienting you to AWS DeepRacer before diving into RL. You’ll have several opportunities to build, train, and evaluate your own RL models. By the end of the course, you’ll have your own optimized RL model that you can enter into a virtual circuit of the AWS DeepRacer Community League.
Speaker: Kitson Cheung, AWS Technical Trainer
Language: Cantonese
What to bring: your personal computer and charger, 1 x USB (2GB or above)
Target Audience: data scientists, data engineers, developers, solution architects, students, machine learning beginners, anyone who would like to learn machine learning fast and develop your first DeepRacer model
Remarks:
1. Participants should have an AWS account to attend the hands-on workshop. Please sign up a free AWS account before Jan 17 if you do not have one.
*Seats are limited on a first-come-first-served basis.
*No computer will be provided onsite. All participants must bring along their own computer to attend the workshop.
*Attendees need to arrive at least 5 minutes before the class. If you haven't checked in at the start of class, your spot will be released to other attendees.
