KNIME Text Mining Training, Berlin - March 2017

2017/03/13 - 2017/03/14
Event location: 
Berlin

KNIME.com is hosting two one day KNIME Text Mining Training courses during the KNIME Spring Summit in Berlin, Germany on March 13 and 14, 2017.

Our one day KNIME Text Mining Training is an intensive training course focused on the processing and mining of textual data with KNIME using the Textprocessing extension. Learn how to read textual data in KNIME, enrich it semantically, preprocess, and transform it into numerical data, and finally cluster it, visualize it, or build predictive models. Text mining experience is not necessarily required for this training.

KNIME (Develop|Deploy)ment Days at KNIME Spring Summit in Berlin - March 2017

2017/03/13 - 2017/03/14
Event location: 
Hotel Berlin, Berlin - Lützowplatz 17 - 10785 Berlin, Germany

The KNIME (Develop|Deploy)ment Days take place on Monday and Tuesday before the KNIME Spring Summit 2017 in Berlin. The purpose of this meeting is to bring together community developers and administrators of KNIME installations to talk about technical aspects of KNIME software solutions, such as node development, deployment, or administration. The format is a mixture of presentations, smaller discussion groups and one-to-ones. The KNIME team will present recent and future additions to the technology. Participants are encouraged to present interesting topics or form discussion groups. Topics may include but are not limited to

  • Recent changes to the Java Snippet node and impacts on extension developers
  • Ongoing developments in streaming execution
  • Writing your own interactive Javascript views
  • Deploying KNIME Analytics Platform in larger organizations
  • Integrating KNIME Servers in corporate networks

The meeting is free of charge but requires a separate registration. Upon registration please tell us your role regarding to KNIME technologies and what topics you want to discuss and/or present.

KNIME Big Data Training, Berlin - March 2017

2017/03/13 - 2017/03/14
Event location: 
Berlin

KNIME.com is hosting two one day KNIME Big Data Training courses during the KNIME Spring Summit in Berlin, Germany on March 13 and 14, 2017.

Our one day KNIME Big Data Training focuses on processing and mining databases with Hadoop and Spark through KNIME. Learn how to interact with these tools based on an example: eliminating missing values by predicting their values based on other attributes.

KNIME User Training, Berlin - March 2017

2017/03/13 - 2017/03/14
Event location: 
Berlin

KNIME.com is hosting two one day KNIME User Training courses during the KNIME Spring Summit in Berlin, Germany on March 13 and 14, 2017.

Our KNIME User Training courses are an ideal opportunity for beginners, advanced users, and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and find out how to create clear, comprehensive reports based on KNIME workflows.

Advanced Analytics Methods Training with KNIME, Berlin - March 2017

2017/03/13
Event location: 
Berlin

KNIME.com is hosting a one day Advanced Analytics Methods with KNIME course during the KNIME Spring Summit in Berlin, Germany on March 13, 2017.

In this course you will get an introduction to the most important methods, algorithms and ideas in the data scientist’s toolbox. You will learn to use advanced methods to uncover underlying patterns or concepts contained in large datasets, automatically group objects into meaningful clusters, classify objects into predefined categories, and refine your features to enrich predictive modeling endeavors. This course covers the main algorithms of supervised and unsupervised learning. The course will cover modern thinking on model evaluation, model selection, and novel ideas of model deployment.

Who should attend: Data Scientists, statisticians, business analysts, market researchers, and information technology professionals who need to get started with Advanced Analytics and want to make better use of their data. Managers and Executives who want to embed analytics into their operating model and maximize data-driven business results at scale.