Oliver Gindele
Oliver Gindele is the head of Machine Learning at Datatonic.
He studied Materials Science at ETH Zurich and moved to London to obtain his PhD in computational physics from UCL. He is passionate about using computers models to solve real-world problems he joined Datatonic to work on bespoke machine learning solutions. He workes with clients in retail, finance and telecommunications Oliver applies deep learning to tackle some of the most challenging use cases in these industries.
Oliver tweets at @tinyoli, and the website of DataTonic can be found here.
Talks I've Given
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Deep Learning for Recommender Systems
Featuring Oliver Gindele
Recommender systems are widely used by e-commerce and services companies worldwide to provide the most relevant items to their users.
Over the past few years, deep learning has demonstrated breakthrough advances in image recognition and natural language processing. Meanwhile, new approaches have...
infiniteconf tensorflow recommender-systems deep-learning -
Predicting congestion on London’s roads with Beam and Tensorflow - Intermediate
Featuring Oliver Gindele
The talk will be about a project Oliver and the Datatonic team did with TfL, where they used Apache Beam and Tensorflow to predict congestion. The talk will focus in detail on how and why these technologies were used in the use case at hand.
n-episode-ii-predicting.html
beam tensorflow infiniteconf bigdata big-data deep-learning