What we're about

This meetup group is for anyone interested to learn more about what KNIME is and can do with your data. We will have events all over spain focusing on application stories but also talks and discussions on KNIME and other projects integrating with or in KNIME. If you have an interesting KNIME story to tell - let us know!

Upcoming events (2)

Webinar: A friendly introduction to codeless deep learning

Recent deep learning architectures have brought us solutions to previously unsolved problems. Nevertheless for most tools you still need to overcome the coding barrier. The Keras Deep Learning Integration of KNIME Analytics Platform allows you to define and train your deep learning models without any code. So let's get started and make the first steps into the field of deep learning.

What are the goals of this webinar?
Deep learning architectures stem from classic neural network architectures. Here you'll get a basic introduction to deep learning and the concepts behind training models and then learn how to build and train a DL model without needing a single line of code.

Who is this webinar for?
We welcome anyone interested in deep learning and neural networks to join us! It will be of particular benefit to data analysts, data scientists, and aspiring deep learning developers, who want to take advantage of the codeless KNIME GUI to build, train, test, and deploy neural networks.

Who are the speakers?
Join Kathrin Melcher, data scientist at KNIME, and Rosaria Silipo, principal data scientist at KNIME and head of the Evangelism Team, who wrote the book Codeless Deep Learning with KNIME (https://www.knime.com/codeless-deep-learning-book), which is available via Packt Publishing.

Want to learn more?
Join the next “Codeless Deep Learning for Sequential Data” webinar on April 20 for a deeper dive into the topic of deep learning.

Webinar: Codeless Deep Learning for Sequential Data

Online event

This webinar on deep learning moves on from building and training a simple neural network to implementing special deep learning architectures for sequential data, called recurrent neural networks.

Sequential data is all around us. Language as a sequence of words, time series as a sequence of numerical values like stock prices or sensor data, or signals as a sequence of samples from a sound wave, to give you just a few examples. This kind of data has special requirements when it comes to deep learning architectures.

What are the goals of this webinar?
In this webinar we start with inspecting different requirements of sequential data and how deep learning models can handle them. We’ll look at different use cases, which have all been implemented without code, including demand prediction with multivariate time series and a number of text based applications.

Who is this webinar for?
We welcome anyone interested in deep learning to join us! It will be of particular benefit to data analysts, data scientists, and deep learning developers who want to take advantage of the KNIME GUI to build, train, test, and deploy deep learning networks.

Who are the speakers?
Join Kathrin Melcher, data scientist at KNIME and Rosaria Silipo, principal data scientist at KNIME and head of the Evangelism Team, who wrote the book "Codeless Deep Learning with KNIME" (https://www.knime.com/codeless-deep-learning-book), which is available via Packt Publishing.

For an introduction to deep learning and the concepts behind training models, join our "A friendly introduction to codeless deep learning" webinar on March 9.

Past events (30)

Webinar - Codeless Reinforcement Learning: Building a Gaming AI

Photos (40)