London Meetup: Deep Dive into TensorFlow #20

Wednesday, February 13, 2019 - 18:00

Welcome to TensorFlow London Meetup #20!



6:00 - Doors open. Networking. Wine, beer & snacks.
6:45 - Opening remarks
7:00 - ‘How to manage data science development from an organizational perspective’ by Nic Young, Bibblio
7:25 - Q&A break
7:30 - ‘Tensorflow and Graph Recommender Networks’ by Yaz Santissi, GDG Cloud
7:50 - Q&A break
8:00 - Wrap-up



Speaker: Nic Young, Head of Product at Bibblio

Title: How to manage data science development from an organizational perspective

Abstract: Effective collaboration between developers and data scientists presents a number of challenges. We’ll look at some specific approaches to overcoming them and focus on the deeper issue of accommodating the divergent needs of these very different functions. We’ll discuss some of their subtler contributions to solving complex problems and examine ways we can embrace our differences at a process level to bring out the best in each other.

Bio: Nic Young has been developing software professionally for thirteen years. For seven of those years he has done product development too. He is sometimes called Head of Product and still actively contributes code to the stack. He mostly works in Clojure these days but has also done a lot of Ruby, JavaScript, and Go. He has studied English Literature and published short fiction. Having said all of this, he would rather you decide for yourself who he is over a beer or cup of tea.


Speaker: Yaz Santissi, GDG Cloud

Title: Tensorflow and Graph Recommender Networks

Abstract: Recommender systems are a core part of the web landscape - from social media, e-commerce, transport, search, and content networks to name just a few. But, compared to other areas such as image recognition, success in Tensorflow for recommender systems has lagged behind. Yaz will provide an overview of the latest research in the field, how it compares to traditional approaches, and discuss the implications for future developments.

Bio: Despite working in cloud and machine learning, Yaz believes creativity or power is still not measured in terms of numbers of GPUs or scalable servers. While appreciating what they can do, he remains a steadfast fan of human learning. In fact, he organises the largest number of TensorFlow events in the world. Usually, in a hack format, participants not only share what they have learned, they also draw inspiration from each other, build projects together, and experiment with the process of coding collaboratively itself in order to nurture that sometimes elusive developer flow.

We look forward to seeing you there!

Rise London

41 Luke St, London EC2A