Machine Learning Crash Course with BigML

The Machine Learning revolution is enabling a transformation in the software industry without precedents, and has no signs of slowing down. New machine-learning powered predictive applications are performing jobs that so far were considered exclusive to highly skilled humans. We are already witnessing a new wave of productivity growth that is changing the face of all sectors of the economy.

In order to play our part in increasing the awareness and application areas of Machine Learning, BigML is actively organizing small private events for practitioners.

On November 8, 2016, BigML will be holding a half-day event in Amsterdam, at the TQ space. Powered by the ABN AMRO Technology Lab, this event is perfect for engineering, science and technology professionals, and other industry practitioners who are interested in boosting their work productivity by applying Machine Learning techniques.

Comment about this Machine Learning course using #MLAMS16


Gerbert Kaandorp

Chief Scientist at BrainCreators

Poul Petersen, M.Sc.

Chief Infrastructure Officer at BigML

Auke Ijsselstein

Lead HR Analytics at ABN AMRO

Schedule of Lectures

The goal of this course is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. This half-day event will take place in Amsterdam at the TQ space (first floor), a curated tech space that push startups towards exponential growth. The lectures will be from 01:00 PM to 6:00 PM CET on November 8.

01:00 PM - 01:05 PM
Opening Remarks
by Amir Tabakovic (BigML) & Jay de Groot (Moven)
01:05 PM - 01:25 PM
by Gerbert Kaandorp (BrainCreators)
01:30 PM - 03:00 PM
Part 1: Web UI, Algorithms, and Feature Engineering
03:00 PM - 03:15 PM
Coffee Break
03:15 PM - 04:15 PM
Part 2a: API, and WhizzML
Part 2b: Towards Fact Based HR
by Auke Ijsselstein (ABN AMRO)
04:15 PM - 05:00 PM
Part 3: BigML for Alexa
by Poul Petersen (BigML)
05:00 PM - 06:00 PM
Drinks & Networking

Organized by:

In collaboration with:

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