OHT Stockholm LearnLab: introduction to Machine Learning
Time & Location
About the Event
PLEASE READ THE DESCRIPTIONS CAREFULLY. ONLY REGISTER IF YOU ARE WILLING AND CAN ACTIVELY PARTICIPATE IN THE WORKSHOP.
We’re excited to announce a new initiative by OHT Stockholm today! We’re launching a series of LearnLab sessions to help you skill up in different areas within the health-tech space.
The first of many sessions will be a 2-hour remote webinar on the basics of Machine Learning (ML). The webinar will be in collaboration with our new sponsor, Google.
Who is it for
This workshop is for everyone that wants to discover the basics of ML and is interested to learn about the possible use cases in the health-tech and healthcare sector. You will walk away with a fundamental understanding of the topic and how it can help you excel in your work.
You do not need any technical or programming skills to participate.
Schedule and format
Before 12:00 – Get your lunch order ready! (details below)
12:00 – Welcome and introduction from OHT
12:10 – Words from our sponsor, Maria at Google
12:15 – Meet and greet attendees and ice breaker
12:30 – Webinar from Anna and Henrik
13:30 – Q&A from attendees
13:50 – Closing words from OHT
Google sponsored lunch
Google has kindly offered to provide attendees with lunch delivered via Uber Eats. We will share the details with those that register a few days before the workshop.
We want to emulate as much as possible real-world connections in a remote setting: we will go through a fun ice breaker activity together to break down the stranger barrier. We will share the details at the workshop, but hint, it involves spirit animals 🐉.
We start the webinar by introducing what Machine Learning (ML) is, how it works, and what you can do with it. We will then go through some practical use cases and discuss where ML can be useful in the health-tech and healthcare sector. There will also be some fun interactive quiz questions throughout the webinar.
What you need
To ensure we can provide maximum value for you in our workshop, please answer the registration form honestly and provide us with the following:
• What about ML would you like to learn specifically?
• What problems are you hoping to solve by using ML?
Also, for the best experience when participating in the quiz, we recommend using a separate smartphone or device, but this is not mandatory!
Anna is a Data Scientist from Datatonic and has an MSc in Statistics and ML. For her MSc thesis, she worked with patient symptom recognition through online forms.
Henrik is a data analytics & ML advisor from Google
We are excited to have Google as a partner and sponsor for this workshop. And a huge thanks to them for also providing lunch.