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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.
Adevinta ML Goals

Adevinta Subject Matter Experts

Know more about our Internal Machine learning experts

Product Lead of ML Services in Adevinta

Manuel Sanchez Hernandez

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

Director of Engineering - Platform Services team

Daniel Giribert

"Design, build and develop best-of-breed Information Systems. Design, design and design. Demonstrate that technical people can also rock the world." Daniel will guide you through the basics of the Adevinta Data Highway & talk about data awareness in the company.

Head Of Architecture at Adevinta

Anders Aagard

"I've worked on the technical aspects of computers my entire life, specializing in linux, linux servers and software development." Anders will be teaching us about the barriers to scaling ML within Adevinta.

External Trainers

Know more about your trainers

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.

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.

  • Learn by doing

    This training is specialised 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.

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 Spain

Watch Intro Video

How to sign up

FAQ

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

    We estimate 60 min per module, approx 12 hrs to complete.. Content will be released weekly until complete the whole course.

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

    We estimate 60-90 min per module, approx 18 hrs to complete. Content will be released weekly until complete the whole course.

  • 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.

  • Will the ML courses be provided with scheduled lessons or through offline lessons?

    Modules will be launched every week as recorded videos, you can take it offline and at your own pace. However, we will enable slack group discussion for the course with the intructor, so is recommended taking the course once is launched to don't miss this part

  • How do I know when a new module is available?

    An email notification will be sent every time we launch each module

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!