Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Vanja Paunic

Vanja Paunic
Data Scientist, Microsoft

Vanja Paunic is a data scientist in the Algorithms and Data Science Group at Microsoft London. She works on building machine learning solutions with external companies utilizing Microsoft’s AI Cloud Platform. She holds a PhD in computer science with a focus on data mining in the biomedical domain from the University of Minnesota.


13:30–17:00 Tuesday, 9 October 2018
Models and Methods
Location: Buckingham Room - Palace Suite
Secondary topics:  Deep Learning models, Financial Services, Temporal data and time-series
Yijing Chen (Microsoft), Dmitry Pechyoni (Microsoft), Angus Taylor (Microsoft), Vanja Paunic (Microsoft)
Average rating: ***..
(3.67, 3 ratings)
Buisnesses use forecasting to make better decisions and allocate resources more effectively. Recurrent neural networks (RNNs) have achieved a lot of success in text, speech, and video analysis but are less used for time series forecasting. Join Yijing Chen, Dmitry Pechyoni, Angus Taylor, and Vanja Paunic to learn how to apply RNNs to time series forecasting. Read more.
16:00–16:40 Thursday, 11 October 2018
Implementing AI, Models and Methods
Location: Windsor Suite
Secondary topics:  Computer Vision, Deep Learning models, Deep Learning tools
Vanja Paunic (Microsoft), Patrick Buehler (Microsoft)
Average rating: **...
(2.00, 2 ratings)
Dramatic progress has been made in computer vision. Deep neural networks (DNNs) trained on millions of images can recognize thousands of different objects, and they can be customized to new use cases. Vanja Paunic and Patrick Buehler outline simple methods and tools that enable users to easily and quickly adapt Microsoft's state-of-the-art DNNs for use in their own computer vision solutions. Read more.