<p>Opening the black box is a fertile area of research today. It is apparent to anyone who has ever worked on a machine learning project that in order to realise a wide spread acceptance delivering a high accuracy model is not enough. Stakeholders are demanding transparency in how and why an algorithm is making specific predictions. A variety of approaches can be used to shed light on how algorithms make their decision: from creating alternative and more transparent algorithms that can compete with the black-box one to using robust statistical techniques. During this talk we will explore different methods for unboxing the black-box model, their pros and cons and how I have used them in TripActions.<br/>We will cover the following topics:<br/>1. Importance of human interpretable machine learning and criteria for model interpretation methods.<br/>2. Challenges and limitations of traditional techniques for model interpretation<br/>3. Hands-on example on the latest model interpretation frameworks on a supervised learning example. Using the iml package we will cover permutation importance, SHAP and LIME.</p> <p>This workshop is brought to you by Teodora Vrabcheva. :)</p> <p>PROGRAM<br/>------------------<br/>[masked] Welcoming :)<br/>18.30- 18.50 Introduction to R-Ladies &amp; Tripactions<br/>18.50- 19.30- Workshop part 1<br/>19.30- 19.45 Break<br/>19.45- 20.30 Workshop part 2<br/>20.30- 21.30 Socialising</p> <p>ABOUT TEODORA<br/>--------------------------<br/><a href="https://www.linkedin.com/in/teodora-vrabcheva-8b841826/" class="linkified">https://www.linkedin.com/in/teodora-vrabcheva-8b841826/</a></p> <p>My name is Teodora and I am a data scientist with background in statistics. I have 8 years of experience in data analytics and data science. I started my career in London working as a statistician in healthcare and marketing research. For the past 3 years I am based in Amsterdam and currently I work for TripActions where my main focus is recommender systems.</p> <p>REQUIREMENTS<br/>----------------------------<br/>Basic knowledge of machine learning/random forest is sufficient. Installation of `iml`- package.</p> <p>ABOUT TripActions<br/>--------------------------<br/>TripActions is an end-to-end business travel platform making business travel as easy and delightful as possible for road warriors. With unrivaled flight, lodging and rental car inventory and global 24/7 365 proactive live human support we maintain 97% traveler satisfaction. In the data team we are responsible for building a scalable data warehouse, reporting and advanced analytics, and providing personalised customer experience through machine learning.</p> <p>CODE OF CONDUCT<br/>----------------------------<br/>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.</p>