Machine Learning demystified: ask the right questions

Add to your list(s) Download to your calendar using vCal

• Bianca Furtuna, Micosoft
• Tuesday 07 February 2017, 13:15-14:15
• FW26, Computer Laboratory.

If you have a question about this talk, please contact Jan Samols.

Machine Learning can solve all your problems, it can tell you what to do better and how to improve your business processes, increase revenue, reduce waste etc.

Well, not really. Machine Learning is not magic. You don’t just apply machine learning in your organisation and intelligent, innovative solutions come out of nowhere. Machine Learning has its limitations and its beauty, but it all comes down to data and questions. You need good data and the right questions and then you are good to go.

In this session, we are going to look at a typical machine learning process and how to apply it to some real world data. We are going to use Azure Machine Learning to transform data and ideas into models that are production ready in minutes, all of this while keeping the real world in mind.

Speaker

Bianca Furtuna is a Technical Evangelist at Microsoft UK Ltd, currently focusing on Machine Learning and Azure Data Platform. She finished a degree in Electrical and Electronic Engineering and her main interests during her studies were in the fields of Artificial Intelligence and Machine Learning, Control Systems and Signal Processing. As a Technical Evangelist, Bianca is engaging with technical audiences across the UK delivering presentations, workshops and technical advice. She is also working with various organisations to help them improve or architect their cloud solutions and support them in implementing Machine Learning and analytics services.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• FW26, Computer Laboratory
• Guy Emerson's list
• Interested Talks
• School of Technology
• Technical Talks - Department of Computer Science and Technology
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.