H2O.ai + KNIME Joint Event: Sparkling Water Special Edition!

Many thanks to Rob Slater from CognitiveCredit, we have a great venue for our first meetup in 2019.

The event is organised in collaboration with Central Working, the UK’s premier homegrown shared workspace provider, transforming the way people work and companies grow.

Today we operate from eleven beautifully designed clubs across the UK, providing thousands of businesses with the environment, connections and support they need to thrive. Members have the option of dropping-in, occupying a permanent office or using a collaborative workspace.

Central Working operates as a premier service business - our service is helping your company grow, introducing you to the people and organisations that can help you succeed. Our 30 Day Guarantee offers any member their money back if we don’t provide them with at least one valuable business connection in their first month.

Agenda:

• 6 - 6:30pm: Doors open at 6pm. Pizzas + Drinks + Networking
• Welcoming Remarks (H2O.ai & CognitiveCredit)
• Talk 1: What's New in H2O-3 & Sparkling Water by H2O.ai team
• Talk 2: Leveraging H2O with KNIME by Paolo Tamagnini & Marten Pfannenschmidt

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Talk 1: What's New in H2O-3 & Sparkling Water?

The H2O team is in town. We would like to invite you to join us on Jan 23rd for our London meetup. We will show you some new features in our open-source machine learning platforms H2O-3 and Sparkling Water.

About H2O.ai team:
Jakub Háva (https://www.linkedin.com/in/havaj/)
Václav Belák (https://www.linkedin.com/in/vaclavbelak/)

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Talk 2: Leveraging H2O Machine Learning with KNIME Analytics Platform

KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

Open source integrations for KNIME Analytics Platform, provide seamless access to large open source projects - including a variety of different machine learning libraries. For example you can use from KNIME large open source projects such as Keras and Tensorflow for deep learning, Apache Spark for big data processing, Python and R for scripting, and more.

The integration of H2O in KNIME offers an extensive number of nodes, all encapsulating functionalities of the H2O open source machine learning libraries. This makes it easy to use H2O algorithms from a KNIME workflow without touching any code while benefiting from the high performance libraries and proven quality of H2O during execution. For prototyping, these algorithms are executed locally, however training and deployment can easily be scaled up using a Sparkling Water cluster.

In our talk we’ll give a short introduction to KNIME Analytics Platform and then demonstrate how data scientists benefit from using KNIME Analytics Platform and H2O Machine Learning together. We’ll do this by showing a real world analysis example.

About Paolo:

Paolo Tamagnini, currently works as a data scientist at KNIME. Paolo holds a master’s degree in Data Science from Sapienza University of Rome and has research experience in data visualization for machine learning interpretability from working and studying at New York University.