This will be a Learnathon kind of meetup. A Learnathon is a session where we allow ourselves the luxury of learning new tools and new techniques. For this particular event, we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. The tool of choice for this Learnathon will be KNIME Analytics Platform.
KNIME.com is hosting a one day IoT Analytics Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on September 25, 2017.
Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you are introduced to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.
Who should attend: Data scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.
KNIME.com is hosting a Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on September 26-27, 2017.
Course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.
KNIME.com is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on September 28, 2017. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held September 26-27, 2017.
This half day Course for KNIME Server dives into the details of the KNIME Server and KNIME WebPortal and discusses them from different points of view: the power user, the administrator, and the end user.
All tools and features designed for each one of these three persona are shown in detail and illustrated by means of interactive sessions. Attendees learn how to exchange workflows and data between the server and the client, how to take advantage of the many server dedicated nodes and features when implementing a workflow, how to set access rights on workflows, data, and meta-nodes, how to share meta-nodes, how to execute workflows remotely and from the KNIME WebPortal, how to schedule report and workflow executions, and more.
The course is designed not only for customers, partners and the community, but also for anyone interested in finding out more about the KNIME commercial platform and its capabilities of interactively exchanging workflows, reports, data, and other resources.
Our 2nd annual fall conference for KNIME Users and Enthusiasts takes place on 1-3 November 2017 in Austin, Texas! We have invited some of the world’s leading data scientists to speak about their use of KNIME software to solve complex data problems in areas including the life sciences, manufacturing, marketing, retail sales, and many others.
But what KNIME users like best is to hear from other KNIME users and so we are reaching out to you. We’re looking for presenters, posters or just your availability for a panel session – if you can share, others will appreciate it. So drop us a quick note on your idea.
And in the meantime: Mark your Calendars!
Registration and more details are coming soon.
KNIME.com is hosting a Course for KNIME Analytics Platform at the KNIME offices in Berlin, Germany on November 13-14, 2017.
Course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.
KNIME.com is hosting a Course for KNIME Server at the KNIME offices in Berlin, Germany on November 15, 2017. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held November 13-14, 2017.
This half day Course for KNIME Server dives into the details of the KNIME Server and KNIME WebPortal and discusses them from different points of view: the power user, the administrator, and the end user.
All tools and features designed for each one of these three persona are shown in detail and illustrated by means of interactive sessions. Attendees learn how to exchange workflows and data between the server and the client, how to take advantage of the many server dedicated nodes and features when implementing a workflow, how to set access rights on workflows, data, and meta-nodes, how to share meta-nodes, how to execute workflows remotely and from the KNIME WebPortal, how to schedule report and workflow executions, and more.
The course is designed not only for customers, partners and the community, but also for anyone interested in finding out more about the KNIME commercial platform and its capabilities of interactively exchanging workflows, reports, data, and other resources.
KNIME.com is hosting a Text Mining Course for KNIME Analytics Platform at the KNIME offices in Berlin, Germany on November 16, 2017.
This one day Text Mining Course for KNIME Analytics Platform is an intensive training 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.com is hosting a Big Data Course for KNIME Analytics Platform at the KNIME offices in Berlin, Germany on November 17, 2017.
This one day Big Data Course for KNIME Analytics Platform 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.
