Let's Innovate!
Take your first steps in Machine Learning
— with Amazon Web Services.
Are you planning your first Machine Learning project in your company? See what first steps you should take. Listen to tips and hints from ML practitioners and start building your own project!
You can expect an introduction to Amazon SageMaker with the basics of building ML use cases. The webinar will be a good introduction to feature engineering, understanding various in-built algorithms, and the steps needed to train, tune and deploy an ML model into a production-like environment. We will show you how to perform an Automatic Model tuning using Amazon Sagemaker.
- Software Engineers
- Cloud Engineers
- Data Engineers
- Data Scientists
- DevOps
- Cloud Architects
Colombian born in Medellin, Mechanical Engineer and PhD in Mechatronics, specialized in Deep Learning and Artificial Intelligence. Currently working as Data Science Consultant in AWS. Robotics enthusiast and MLOps aficionado. He has worked with big AWS customers such as Audi, Porsche and Astra Zeneca, helping them realize their goals by implementing AI/ML based solutions in the Cloud.
