Live-coding Agile Machine Learning Meetup

Join us on December 7th for a meetup including practical Agile Machine Learning as well as a live-coding session using Keras and TensorFlow to iteratively use more complex models to improve the performance.

Agile Machine Learning

Machine learning can automatically extract patterns, knowledge and insights from your data, to unlock the value it already holds. Far too often, ML projects are completed in a “black box”: you send a list of requirements and a while later an “expert” comes back with an answer. You are left completely out of the process.

In an Agile ML approach, the engineers and business problem owner works together to define the most critical business-centric questions to ask of your data. Then making clever use of ML techniques that can turn existing data into actionable recommendations, or pinpoint the answer to your question in a split second. In this presentation we will explain how Agile Machine Learning works in practice.

Presented by Attila Houtkooper

Live-coding session using Keras and TensorFlow

We will demonstrate the Agile Machine Learning on a practical example to go from a simple Shallow Network to more and more complex methods such as Deep Learning and Convolutional Networks.

This will give you insight in how you can iteratively use more complex ML techniques to build an accurate model answering the question you need it to.

Presented by Wilder Rodrigues

We're very excited to see you on December 7th at Trifork Amsterdam!

Timetable:

17:30 - Doors open

18:00 - 18:30 Pizzas and Drinks

18:30 - 19:30 Agile Machine Learning (Attila)

19:30 - 19:45 Break

19:45 - 21:00 Keras and TensorFlow Live Coding (Wilder)

21:00 - 21:30 Discussion & Drinks

Live Streaming: tiny.cc/trifork-live