What we're about

The focus of this Meetup group is to provide free monthly community data events, leading towards the London Data Science Festival.

What is the London Data Science Festival?

Data Science Festival - Monday, November 2nd to Saturday, November 7th, 2020.

The Data Science Festival LIVE is a free week long, celebration of all things data science. The festival consists of lectures, workshops, demos, code sprints, panel discussions and social events, spread across London and culminated with a day long Mainstage event. Monday to Thursday of the week will be at different venues every evening featuring a range of speakers. Friday night will be a Data Science Networking event and Saturday is our MainStage conference from 9 AM - 6 PM.

About us

The Data Science Festival is a global data community. We aim to connect the data world and foster the sharing of knowledge, inspiration and ideas.

The global network is dedicated to free education through grassroots technical events. we will cover the latest topics that matter most to data scientists and data engineers. There will be no demos that you can learn from a book or video, instead our speakers will be discussing real world problems, what works, what doesn’t work and why they’ve implemented the solutions they have. They will generate lively discussion and debate, offering real-world take-aways to help you in your job.

Who is the Data Science Festival for?

• Data engineers, analysts, scientists, and other practitioners

• Academics, founders, researchers, authors

• R, Python and other software engineers who work with data or want to learn

• Data visualisation developers and designers

• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilise open source tools

How can I get involved?

Visit the DSF site to get involved! (http://www.datasciencefestival.com/)

We are actively looking for community minded individuals to help build and grow our group, please feel free to get in touch if you would like to:

• Host an event

• Sponsor an event

• Present a session

• Volunteer to help organise the festival

Upcoming events (1)

How We Optimised Hero Images using Multi-Armed Bandit Algorithms with EPAM

How We Optimised Hero Images using Multi-Armed Bandit Algorithms with EPAM.

Join DSF in July for our Customer, Marketing and Growth Talks. Speakers from this sector share their stories, projects, joys, trials, and tribulations over the course of July 2021. Come and listen to these amazing companies and ask questions to learn more about this growing industry.

Ticket Allocation Process:
Registering here guarantees you a ticket for the Data Science Festival Virtual Event on July 29th , 2021. Please ensure to add this session to your schedule in order to receive the joining URL links.

Registration Link: https://growth.datasciencefestival.com/talks/dsf-session-5-epam/

Summary: How We Optimised Hero Images using Multi-Armed Bandit Algorithms. In this masterclass, we introduce the multi-armed bandit (MAB) optimization campaign we ran on Hotels.com™. The objective was to find the best possible main image (also called ‘hero image’) for the properties on our website whilst minimizing the impact of exploring different candidates. We will go through some of the main considerations and outcomes of this project.

Speakers:

Gyula Magyar - Lead Software Engineer - EPAM

Bio: Gyula is a Lead Software Engineer at EPAM who works with Expedia to help them build a multi-armed bandit platform. He specialises in data streaming with Apache Flink and Java backend development.

Humiun Miah - Product Manager - Machine learning & Personalisation - Expedia

Bio: Humiun is a product manager leading personalisation products at Expedia. He has successfully led product teams in driving human centred AI products and has been the leading force in instilling AI product principles at Expedia. Humiun has driven innovative products using machine learning in imagery, recommendations & ranking.

Fedor Parfenov - Lead Machine Learning Scientist - Expedia

Bio: Fedor is a Lead Machine Learning Scientist at Expedia who specialises in using contextual multi-armed bandits to optimise web page layouts, content and backend services. Previously he has worked on a/b test methodology, bidding and anomaly detection.

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