Big Data Course for KNIME Analytics Platform, San Francisco - April 2017

2017/04/27
Event location: 
San Francisco

KNIME.com is hosting a Big Data Course for KNIME Analytics Platform at the MicroTek Training Solutions, 655 Montgomery St Suite 400, San Francisco, CA 94111, USA on April 27, 2017.

This 1-day Big Data Course for KNIME Analytics Platform explores the KNIME Big Data Extension to deal with Hadoop and Spark the KNIME way, without scripts. Attendees learn to run in-database processing on Hadoop Hive and to train Spark Machine Learning models from a KNIME workflow, taking advantage of the ease-of-use of KNIME Analytics Platform and parallel processing of a big data platform.

During this course, attendees learn more about Spark, Hadoop, and how to interact with them through interactive sessions and hands-on exercises. Step by step, we will build a predictive model and use it to fix missing values on a big data dataset.

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KNIME and ImageJ2 - KNIME Meetup in Seattle, May 2017

2017/05/08
Event location: 
University of Washington, Seattle, USA

At this meetup Kevin Eliceiri (University of Wisconsin) will introduce ImageJ2, FIJI and the “ImageJ Ecosystem” as a suite of interoperable, customizable open source software tools. Christian Dietz (KNIME) will discuss KNIME Image Processing, an extension of KNIME Analytics Platform, for processing large multidimensional image datasets, and show how it seamlessly integrates with the ImageJ ecosystem.

For those who are new to  KNIME Analytics Platform, Christian will give an overview of the platform and its capabilities right before the talks start at 2 PM.

This meetup is open to everyone interested in image analysis in the life sciences, KNIME Analytics Platform, KNIME Image Processing, ImageJ2 and FIJI.

Agenda:

  • 2:00 PM "KNIME Analytics Platform - An Overview",  Christian Dietz (KNIME)
  • 2:50 PM "ImageJ Ecoystem", Kevin Eliceiri (University of Wisconsin)
  • 3:40 PM Break with refreshments
  • 4:00 PM "KNIME Image Processing - Integrative Open-Source Image Analysis in Life-Sciences", Christian Dietz (KNIME) 
  • 5:30 PM Networking and discussions over drinks & snacks at Big Time Brewery

This event is very kindly hosted and organized by Glen MacDonald from the Digital Microscopy Center at the University of Washington. The Digital Microscopy Center provides high quality light microscopy and software tools for image analysis to researchers at the University of Washington and the greater Seattle area. The DMC was created by the Center on Human Development and Disability and the Virginia Merrill Bloedel Hearing Research Center.

Where exactly is the meetup?!

In CD150 CHDD auditorium of the Early Education Unit, University of Washington, next door to the CHDD Clinical Building and the DMC. Here is a map to CD150.

The speakers:

Kevin Eliceiri, Director - Laboratory for Optical and Computational Imaging, University of Wisconsin ImageJ2: ImageJ for the next generation of scientific image data

Christian Dietz, Lead Developer - KNIME Image Processing, KNIME KNIME for open-source bioimage analysis: a tutorial

We look forward to seeing you in Seattle!

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Inaugural KNIME Meetup in Budapest - May 2017

2017/05/08
Event location: 
EPAM HQ, Futo utca 47-53, Budapest, Hungary

At our very first KNIME meetup in Budapest, Jon Fuller (KNIME) will show how KNIME, Apache Spark and Microsoft Azure / Amazon AWS can enable fast, cheap and automated classification of digital images. Working with KNIME Analytics Platform, we use KNIME on Apache Spark running on an HDInsight cluster to pre-process the image data and then train a deep convolutional neural network on GPU-enabled VMs to classify the images. The trained model is easily deployed to end-users as a web application using the KNIME WebPortal.

There will be two talks from EPAM. The first, "Open Source Recommender" is about leveraging Python to create product recommendation engines in KNIME and will be presented by Máté Kormos. "Scaled Data Harmonization" is the topic of the second talk by Ákos Tóth and will discuss the global data harmonization of multiple external and internal data sources to achieve an actionable insight on the market inventory level.

Agenda:

  • 17.30 "Introduction to KNIME", Mihály Medzihradszky (KNIME)
  • 17:45 "Image Analysis with KNIME, Apache Spark, and the Cloud" Jon Fuller (KNIME)
  • 18:15 "Open Source Recommender" Máté Kormos (EPAM)
  • 18:45 "Scaled Data Harmonization in KNIME" Ákos Tóth (EPAM)
  • 19:15 Networking Time. Drinks & snacks will be provided.    

To celebrate this very first KNIME meetup in Budapest, meetup guests are very welcome to join us for an after-meetup drink at Élesztő!

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The speakers:

Mihály “Medzi” Medzihradszky is Manager Life Sciences at KNIME.com and  also heavily involved in all things Customer Development. His main interest is understanding the needs of customers and helping them find a solution using KNIME. As a native of Budapest he is also very enthusiastic about building the KNIME community in Hungary. Medzi has an Msc in Economics and has spent the last 8 years in various customer development roles in the R&D and IT industries.

Jon Fuller is an Application Scientist at KNIME.com and he's responsible for all things cloud at KNIME. He is passionate about showing customers how they can leverage the powerful Advanced Analytics features of the KNIME Analytics Platform and deploy them using the KNIME Server. Jon is experienced at deploying the KNIME Server in both traditional and cloud infrastructures alongside Big Data platforms. Jon holds a PhD, and draws on years of experience as a Bioinformatician, that got him excited by the challenges of data science in the first place.

Máté Kormos is a Data Scientist at EPAM Systems with a keen interest in data mining and statistical computing. He participated in the development of various KNIME solutions for major consumer goods companies and he regularly conducts KNIME training sessions within EPAM both on beginner and advanced level. After obtaining a master's degree in bionic engineering, he spent a few years in computational cancer research, then he moved to the BI sector to find actionable insights and business value in data.

KNIME Meetup in Boston - May 2017

2017/05/25
Event location: 
CIC Boston, 50 Milk Street, 18th Floor, Boston, MA 02109, US

At this KNIME meetup in Boston, Jon Fuller (KNIME) will show how KNIME, Apache Spark and Microsoft Azure / Amazon AWS can enable fast, cheap and automated classification of digital images. Working with KNIME Analytics Platform, we use KNIME on Apache Spark running on an HDInsight cluster to pre-process the image data and then train a deep convolutional neural network on GPU-enabled VMs to classify the images. The trained model is easily deployed to end-users as a web application using the KNIME WebPortal.

The venue for this meetup is very kindly provided by CIC. CIC develops eco systems and provides high-quality infrastructure to allow exceptional entrepreneurs to create new products and companies better and faster. We are very grateful to CIC for enabling us to hold our meetup in this future-focused location.

Agenda:

  • 17.30 "Introduction to KNIME", Mihály Medzihradszky (KNIME)
  • 17:45 "Image Analyis with KNIME, Apache, Spark, and the Cloud" Jon Fuller (KNIME)
  • 18:15 Second Talk tba
  • 18:45 Networking Time. Drinks & snacks will be provided.

The speakers:

Mihály “Medzi” Medzihradszky is Manager Life Sciences at KNIME.com and  also heavily involved in all things Customer Development. His main interest is understanding the needs of customers and helping them find a solution using KNIME. As a native of Budapest he is also very enthusiastic about building the KNIME community in Hungary. Medzi has an Msc in Economics and has spent the last 8 years in various customer development roles in the R&D and IT industries.

Jon Fuller is an Application Scientist at KNIME.com and he's responsible for all things cloud at KNIME. He is passionate about showing customers how they can leverage the powerful Advanced Analytics features of the KNIME Analytics Platform and deploy them using the KNIME Server. Jon is experienced at deploying the KNIME Server in both traditional and cloud infrastructures alongside Big Data platforms. Jon holds a PhD, and draws on years of experience as a Bioinformatician, that got him excited by the challenges of data science in the first place.

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Course for KNIME Analytics Platform, Berlin - July 2017

2017/07/03 - 2017/07/04
Event location: 
Berlin

KNIME.com is hosting a Course for KNIME Analytics Platform at the KNIME offices in Berlin, Germany on July 3-4, 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.

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