Name: Deep Dive into basic Machine Learning concepts in R
Start: 2019-03-28T17:00:00+01:00
End: 2019-03-28T20:30:00+01:00
Location: Booking.com

Hi Everyone! We are very excited to announce our next workshop, a workshop on Machine Learning brought to you by Kelly Pisane, a data scientist at booking.com.

SPECIAL THANKS to Booking for sponsoring our event as part of their generous support and efforts towards a more diverse tech & data science community.

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17.00 Doors open, welcome, food & drinks

17.30 Introduction to R- Ladies by Janine Khuc
and Introduction to Booking by Lucie de Nooij

17.55 R- Workshop part 1 by Kelly Pisane

18.45- 19.00 Break

19.00- 20.00 Workshop part 2 by Kelly Pisane

20.00- 20.30 Socialising
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PROGRAMME
Booking.com is one of the world's leading digital travel platforms. However, with millions of customers and partners across the globe comes the challenge of categorising thousands of customer service enquiries on a daily basis.

To meet this challenge, Booking.com data scientists are using customised machine learning techniques. One of these data scientists is Kelly Pisane. Kelly has a PHD in experimental nanoscale magnetism, and was a former research and development scientist in integrity testing for integrated circuits. She will be discussing how Booking.com uses ML to categorise calls, as well as the algorithms in R they use and how performance is evaluated. Kelly will talk about what's happening behind the scenes and the math involved, by keeping it simple and accessible at the same time. The basic classifiers will be covered, applied to datasets and their performance will be evaluated.

Also speaking at the Meet-Up will be Booking.com data scientist and team lead, Lucie de Nooij. In 2017, Lucie was awarded the first-ever internal Booking.com Tech Playmaker Award for her work as a mentor to women in tech throughout the company. She'll be presenting a short introduction to data science and machine learning at Booking.com.

REQUIREMENTS
A basic knowledge of R is required. Bring your own laptop with R, R Studio installed. We will use the packages caret and tidyverse.

CODE OF CONDUCT
We expect all attendees to abide by our Code of Conduct. Anyone who violates this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition. We are emphatically queer and trans-friendly. This group was created so those who identify as women have a comfortable place to learn.

Janine Khuc

Tess Korthout

R-Ladies Amsterdam

R-Ladies

Technology

Open Source

Big Data

Machine Learning

Data Analytics

Data Science

Data Science using R

Data Visualization

Computer Programming

Professional Networking