KNIME Webinar: Sharing and Deploying Data Science with KNIME Server - February 2019

Online

You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units?

KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems.

Course for KNIME Analytics Platform, Stockholm

- Stockholm

Our trusted partner, Redfield, is hosting a Course for KNIME Analytics Platform on February 6-7, 2019.

In this course you'll learn everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. You’ll also get the chance to test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Workshop: Sentiment Analysis - Deep Learning, Machine Learning, and Lexicon Based, Hamburg

CGI 6. OG - Am Sandtorkai 72, 20457 Hamburg, Germany

Want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application with KNIME Analytics Platform.

In this workshop you will build a sentiment analysis application, step by step, using KNIME Analytics Platform. After an introduction to the most common techniques used for sentiment analysis and text mining we will work in three groups, each one focusing on a different technique.

  1. Deep Learning: This group will work with the visual Keras deep learning integration available in KNIME (completely code free).
  2. Machine Learning: This group will use other machine learning techniques, based on native KNIME nodes.
  3. Lexicon Based: This group will focus on a lexicon based approach for sentiment analysis.

KNIME Webinar: Guided Automation - A Blueprint for Interactive Automated Machine Learning

Online

Here is a copy of the Guided Automation Webinar which we hosted on January 29, 2019:

Is it useful to fully automate the data science cycle? In this webinar we describe a semi-automated approach to the creation and training of machine learning models by alternating interaction points and automatic data processing.

This interactive approach to automated machine learning at KNIME is obtained via Guided Automation, a special instance of Guided Analytics. With Guided Automation, we do not aim to replace the driver by totally automating the process, instead we offer assistance and allow feedback to be gathered throughout the modeling process - whenever it's needed.

Course for KNIME Analytics Platform, Munich

- Munich

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform on January 17-18, 2019.

In this course you'll learn everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. Explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, dive into controlling workflows with Loops and Flow Variables. You’ll also get the chance to test everything you learn in the hands-on session by going through a full churn prediction use case and taking a look into the future weather. This course is designed primarily for those who have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

KNIME Online Course for Beginners - January/February 2019

Online

This online course introduces the basic functionalities of KNIME Analytics Platform.

Mode: Interactive learning sessions and exercises, which are assigned at the end of each session and discussed at the beginning of the following session.
Who: This course has been designed for KNIME newbies who wish to know more about the basic functionalities of the platform. The four one-hour online lessons stretching over four weeks are ideal for aspiring KNIME experts whose time is limited.
Duration: One hour per week over 4 weeks, plus a one 15-minute course at the end
Location: Online
Dates: January 9, 16, 23, 30, February 6 - always at 6pm CET
Price: EUR 250 + VAT

Big Data Course for KNIME Analytics Platform, Stuttgart

Stuttgart

KNIME is hosting a Big Data Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on December 14, 2018.

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.

Course for KNIME Server, Stuttgart

Stuttgart

KNIME is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on December 13, 2018. We recommend combining this course with the 2-day Course for KNIME Analytics Platform held December 11-12, 2018.

Course for KNIME Server dives into the details of KNIME Server and KNIME WebPortal and discusses them from three different points of view: the power user, the administrator, and the end user. All tools and features designed for each one of these three personas are shown in detail and illustrated by means of interactive sessions and hands-on exercises.

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, share meta-nodes, execute workflows remotely and from the KNIME WebPortal, and 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 functionalities.

Course for KNIME Analytics Platform, Stuttgart

- Stuttgart

KNIME is hosting a Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on December 11-12, 2018.

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.

Inaugural KNIME Meetup, Eindhoven

High Tech Campus 1e, 5656 AE Eindhoven, Netherlands

We are hosting our first ever meetup in Eindhoven at the High Tech Campus on November 30, 2018.

Join us to learn more about KNIME Software and the types of data science problems you can solve with it, as well as meet and network with other like-minded individuals and KNIME enthusiasts near you.

Course for KNIME Analytics Platform, Istanbul

- Istanbul

Our trusted partner, Sistek, is hosting a Course for KNIME Analytics Platform in Istanbul on November 29-30, 2018.

In this course you'll learn everything you need to get going - from installation, to navigating around the various sections, through to fully utilizing KNIME Analytics Platform. Learn how to read and manipulate data, data visualization techniques, and how to export and deploy workflows. You’ll explore advanced data mining techniques and generate reports based on KNIME workflows. Finally, you'll learn about controlling workflows with Loops and Flow Variables. You’ll also get the chance to test everything you learn in the hands-on session. This course is designed primarily for those have little to no previous experience with KNIME, but is also useful for those who simply want to fine tune their knowledge.

Meetup: Data Anonymization with KNIME Analytics Platform, Stockholm

Gradängen, Goto 10, Hammarby Kaj 10D, Stockholm

Our trusted partner, Redfield, are hosting a meetup in Stockholm, Sweden with a focus on anonymizing data using KNIME Analytics Platform and ARX.

The goal is to not only anonymize data, but to do it in a way that is still useful for advanced data analysis.

We will briefly review the basics of data anonymization, which technologies exist, and how we can use advanced algorithms to make it impossible to re-identify data. The goal is, that data should be useful for further analysis - and Redfield has the technology to achieve this.

KNIME Server Online Course for Data Scientists

- Online

KNIME Server Online Course for Data Scientists dives into the details of KNIME Server and KNIME WebPortal with the primary goal being to learn how to use KNIME Server to collaborate with colleagues, automate repetitive tasks, and deploy KNIME workflows as WebPortal applications or REST web services.

Attendees will learn how to:

  • share workflows, data, and metanodes between teammates and among different functions within the company
  • take advantage of the many server dedicated nodes and features
  • set access rights on workflows, data, and metanodes
  • execute workflows remotely on KNIME server and from the KNIME WebPortal
  • schedule report and workflow executions.

Data Science Learnathon: From Raw Data to Deployment, Paris

Telecom Paris Tech, Room B310 (Amphitheater), 46 Rue Barrault, 75013 Paris, France

KNIME will be in Paris on November 28 hosting a Data Science Learnathon.

What is a learnathon? It's between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle - data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises. The tool of choice for this learnathon is KNIME Analytics Platform.

KNIME Analytics Platform is an open, open-source, GUI driven, data analytics platform, that covers all your data needs from data import to final deployment. Being open, KNIME Analytics Platform offers a vast integration and IDE environment for R, Python, SQL, and Spark.

After an initial introduction to the tool and to the data science cycle, we will split in groups. Each group will focus on one of three aspects of the data science cycle:

  • Group 1. Working on the raw data. Data access and data preparation.
  • Group 2. Machine Learning. Which model shall I use? Which parameters?
  • Group 3. I have a great model. Now what? The model deployment phase.

Meetup: KNIME in the Life Sciences, Basel

Biozentrum, Klingelbergstrasse 70, CH-4056 Basel, Switzerland

The Biozentrum of the University of Basel is hosting us for a KNIME Meetup on November 28 focusing on KNIME in the Life Sciences.

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.