Unlocking the value of machine learning in Adevinta

Through this training initiative, we aim to ramp up the knowledge, adoption, and better use of Machine Learning


Machine Learning Subject Matter Experts

Know more about our Internal and external Machine learning experts

Machine Learning /Data Science Instructor

Tom Gadbsy

Holds a Master degree in Computer Science, and is currently working as a Data Science Instructor at Spiced Academy. Tom has also been a Product Manager and Data Scientist delivering both practical training and data-driven enterprise solutions, so he has a wide experience in the field.

Data Scientist Instructor

Francesco Mosconi

Francesco Mosconi is founder and Data Scientist at ​Catalit​. Previously he was lead Data Science instructor at General Assembly and The Data Incubator, as well as Chief Data Officer and co-founder at Spire, a Y Combinator-backed startup that invented the first consumer wearable device capable of continuously tracking respiration and activity. He earned a joint PhD in biophysics at University of Padua and Université de Paris VI and a master in theoretical physics at the University of Padua. Francesco is also a graduate of the Singularity University class of summer 2011. Francesco has published a book called ​Zero to Deep Learning​ and runs training boot camps in San Francisco.

Product Lead of ML Services in Adevinta

Manuel Sanchez

Manuel will explain you how ML can be introduced as part of the product development process. He is co-leading the ML Services Area, an area in the central hub with the mission of helping Adevinta teams capturing the value of ML

Our core principles for successful learning!

These values will help us deliver on our goals, and help you make the most out of this training.

  • Pragmatic Training

    You will be able to easily apply what you learn to real business problems, with an immediate impact on our company. des.

  • Learning by doing

    This training is specialized for Adevinta and will focus on our real audience.

  • Bridge the gap

    ...between ML producers & ML consumers! With our specialised Business and Tech courses we make sure that everyone is on the same page.des.

How do we use ML in Adevinta?

  • Phone price suggestor in classified ads

    Goal: Help users determine the best price and so accelerate matching. Contribution type: Revenue. Done by: Valuation tools, Leboncoin.

  • Watermark detection in real estate

    Watermark detection in Adevinta Spain. Goal: Detect and potentially delete images with watermarks to improve the UX. Contribution type: UX improvement. Done by: RE Spain, Cognition (Hub), and Enablers (Hub).

  • Job title Normalization Infojobs Spain

    Goal: identify equivalent job title terms, to find matches between our job seekers and our job publishers. -Contribution type: Improve UX. Done by: Majauts- Infojobs Spaiwjob


  • How long will it take me to finish ML Business course?

    Each course have a different duration, please check each course landing page for detailed information.

  • Will my course include home assignments? Is there any homework in the course?

    We won't send homework, however at the end of each lesson you have to complete a short quiz with key questions to make sure the content has been understood.

  • What happens when I finish a course?

    You receive a course certificate that you can post online to show that you've acquired some new ML skills.

  • How do I share feedback about the course?

    After completing each course, you'll have the opportunity to rate it and add feedback. On top of this, we will send a survey at the end of the Q to gather more feedback

  • Is it possible to join both business and tech courses?

    Yes! You can do both courses, however for the Tech one, as a pre-requisite, you need to have as a minimum python intermediate level.

Join us on slack !

Each group will act as a forum of discussion for our Machine Learning courses. Interact with your peers and teachers, ask questions, and share your opinion!