The event has passed.
Do you want to use Machine Learning (ML) to create more value from your app or service's data? Do you have limited knowledge or no team of seasoned data scientists to help you? Then this meet-up session is for you. This event is part of Meetup Series: Co-create Business on the Big Tech of Today with IBM.
The event is divided into three parts. First, we will discuss the benefits of ML and what you need to know to get started. Then, we get started with a hands-on experience. Lastly, we will talk about what lessons we can learn from previous projects. The meet-up ends with a networking opportunity.
We have gathered a group of experts to help you navigate the domain and get an idea of how to get started. We will discuss the following questions:
- Is deep learning with neural networks the best solution for many of today's problems, or are there other options?
- How much theory do I need to get started with my app or service?
- How do I get from idea to trained and deployed model, and what are the things I need to consider?
- What are current project examples and what lessons can we draw from them?
During the hands-on getting started part, we will use IBM Data Science Experiences and Watson Machine Learning, to offer an e2e environment. This allows you to choose approach, train, deploy and govern ML models while collaborating with others. Check out the tool before the session to be able to dig even deeper during the QA!
With us this evening we have:
- Mikael Huss, Senior Data Scientist at IBM and PhD/former Associate Professor at KTH with experience as Startup Adviser on ML strategy
- Jonathan Falk Sundman, Predictive Analytics Specialist and Data Science Experience Lead at IBM and KTH graduate
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John Karlsson, Data Scientist at Advectas, specialized in Customer Analytics and Reinforced Learning approachesAgenda (Presentations begin 18:00)
- 17:30 – Welcome with sandwich and drinks
- 18:00 – Crash Course in Machine Learning for Business (Mikael Huss, Data scientist, IBM)
- 18:30 – How to Get Started & How IBM Can Help (Jonathan Falk Sundman, Analytics specialist, IBM)
- 19:00 – Project examples and lessons from the trenches (John Karlsson, Advectas)
- 19:30 – Networking
Agenda (Presentations begin 18:00)
- 17:30 – Welcome with sandwich and drinks
- 18:00 – Crash Course in Machine Learning for Business (Mikael Huss, Data scientist, IBM)
- 18:30 – How to Get Started & How IBM Can Help (Jonathan Falk Sundman, Analytics specialist, IBM)
- 19:00 – Project Examples and Lessons Learned (friend @TBA)
- 19:30 – Networking
