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.
Come to CNAM on October 9 for a workshop on using KNIME for the Life Sciences from 2 to 5.30 PM
In this hands-on course we will use KNIME and a collection of open-source cheminformatics nodes to go through the process of building and validating a predictive model for biological activity using machine learning. We will approach this the way such problems are often solved in "real world" drug-discovery research: starting with a set of data from a primary high-throughput screening experiment we will clean up the data, filter out "undesirable" molecules, generate molecular fingerprints, and then, finally, build and validate a machine learning model. We'll introduce a couple of different learning algorithms and look at optimizing model hyper-parameters for our problem. The focus throughout will be very hands-on and practical.
This workshop is offered free of charge! Participation is limited to 25 people.
Come to our very first KNIME Users meetup in Paris on October 9, 2017!
The focus of this meetup is KNIME Analytics Platform and the Life Sciences. Our invited speakers have some fascinating talks, for example about data mining in safety data sheets (Thierry Convard), Peptide Descriptors (Olivier Lavergne), Histopathology (Jon Fuller, KNIME) and the Novel KNIME nodes by BioSolveIT.
If you are new to KNIME then make sure you're there at the beginning of the meetup for Mihaly Medzihradszky's introductory talk about KNIME Analytics Platform.
Join KNIME and Forest Grove this October in Perth and Melbourne, Australia, for the Forest Grove Discover Series and get hands on with KNIME Advanced Analytics software. Learn how the open source platform seamlessly cleans and structures data, and integrates with your Business Intelligence function. If you have implemented any data analytics application, even a very simple one, you will know that data cleaning is a huge key to success. Present poor quality, dirty data to the model and the model will produce poor quality, dirty classification/prediction results.
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.
