Name: Postponed: Graph databases, automated machine learning and Python
Start: 2020-03-19T17:45:00Z
End: 2020-03-19T20:45:00Z
Location: TDB

[Please do read our code of conduct, by attending you are agreeing to be bound by it.

It means a lot to us.

https://linuxinginlondon.com/code-of-conduct-2017/ ]

---

Ever wondered about graph databases and artificial intelligence? Curious about Python and machine learning?

Then this is the evening for you! The night is going to be glorious.

Firstly, we will have two well-known tech community leaders and experts in their respective fields, giving us two lovely topical talks.

Secondly, we are hosted by the splendid people at G-Research, Europe’s leading quantitative finance research firm, just off Tottenham Court Road. They’ve promised great hospitality, with pizza and soft drinks provided.

Thirdly, they’ll also be providing us with prizes for the free raffle that will be at the end of the night, very exciting stuff!

NB: We are starting slightly early and would appreciate everyone arriving a little ahead of time

---

17:45 Doors open.

18:10 Everyone seated and a warm welcome by G-research.
18:15 An introduction to Linuxing In London with Brian Byrne.

18:25 From Logic Programming to Knowledge Graph - How Graph Database Changes the AI Industry by Cheuk Ting Ho.
18:55 Q&A.

19:00 Refreshments, courtesy of G-research. Vegetarians, Vegans, etc. catered for, plenty of soft drinks.
19:30 Everyone seated.

19:35 Introducing automated machine learning with Scikit-learn for Pythonic engineers by Ian Ozsvald.
20:05 Q&A.

20:10 Community announcements.
20:15 Our lovely free raffle, big thanks to G-research and O'Reilly.

20:25 Group photo and close of talks.

20:30 A few more nibbles.
20:45 Close of the event.

[The agenda is subject to change and revision, precise timings on the night may vary.]
---

[Please do read our code of conduct, by attending you are agreeing to be bound by it.

https://linuxinginlondon.com/code-of-conduct-2017/ ]

---

Abstracts can be found at [URL]

1. Speakers' details

A. Cheuk Ting Ho.

After doing research in theoretical physics, Cheuk has transferred her analytical and logical skills in natural science and built a career in data science. Cheuk has been a Data Scientist working in the travel business, a consultancy and a global bank. She now brings her knowledge in data and passion for the tech community into TerminusDB as the developer relations lead.

Cheuk constantly contributes to the open-source community by giving AI and deep learning workshops and organize sprints to encourage contributions. Cheuk has also been a guest speaker at various conferences and co-organize AI Club for Gender Minorities to support Diversity and Inclusion. Her projects and work can be found at https://cheuk.dev

B. Ian Ozsvald.

Ian is a Chief Data Scientist and Coach, he co-organises the annual PyDataLondon conference with 700+ attendees and the associated 10,000+ member monthly meetup. He runs the established Mor Consulting Data Science consultancy in London, gives conference talks internationally
often as keynote speaker and is the author of the bestselling O'Reilly book High Performance Python (2nd edition). He has 17 years of experience as a senior data science leader, trainer and team coach.

For fun Ian is walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee. His past talks and articles can be found at: https://ianozsvald.com/

---

There is a job available at G-research which might be of interest:

https://www.gresearch.co.uk/role/R-Machine-Learning-Researcher-Open/

---

[Please remember: 1. To fill in your **full** real name for building security 2. Bring some form of valid ID.

If you don't, then you might not be able to enter the event.]

BrianLinuxing

David Smith

Catherina Katsandri

Marios Georgiou

Simon Schofield

Linuxing In London

Technology

Linux

Software Development

New Technology

Programming Languages

Network Security

Unix

Open Source

System Administration

Cloud Computing

Virtualization

Operating Systems

GNU Linux

Linux Server

Raspberry Pi