Grafika Wydarzenia
WEBINAR

Let's Innovate!
Take your first steps in Machine Learning
— with Amazon Web Services.

Learn more
When & Where
Data
05 / 04 / 2022
Czas
11:00 / CEST
Miejsce
Online
Participation in the event is free (registration is required).
Registration form:
About

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.

When & Where
Data
05 / 04 / 2022
Czas
11:00 / CEST
Miejsce
Online
Participation in the event is free (registration is required).
Audience
  • Software Engineers
  • Cloud Engineers
  • Data Engineers
  • Data Scientists
  • DevOps
  • Cloud Architects
Partner:
Logo
Agenda:
11:00 - 11:05
Welcome and introduction
11:05 - 11:20
Introduction to Amazon Sagemaker
11:20 - 11:40
How to prepare your data, train a model and host it using Amazon Sagemaker
11:40 - 12:05
How to perform an Automatic Model tuning using Amazon Sagemaker
12:05 - 12:15
Q&A
Wypełnij formularz rejestracyjny:
Victor Jaramillo, PhD
SPEAKER
Victor Jaramillo, PhD

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.

Piotr Kalinowski
SPEAKER
Piotr Kalinowski

On a daily basis I deal with architecture, software development and advanced development

data processing systems. I also create ML / AI solutions: mainly in Microsoft Azure, Amazon Web Servicesbut also in Alibaba Cloud.