Data Science Learnathon: From Raw Data to Deployment, Dublin

Dublin

KNIME will be in Dublin on June 19 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.

Course for KNIME Analytics Platform, Seattle, WA

- Seattle, WA

Our trusted partner, GEMMACON, is hosting a Course for KNIME Analytics Platform in Seattle, WA on June 13-14, 2019.

This course teaches you 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. 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.

Course for KNIME Analytics Platform, Seoul

- Seoul

Our trusted partner, Datasolution is hosting a two-day KNIME Analytics Platform Course in Seoul on June 13-14, 2019.

This course teaches you 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. This course also introduces different machine learning models by using a real world data. You'll also get to test everything you learn in a hands-on session.

This course is held in Korean and designed primarily for those who have little to no previous experience with KNIME. It is also useful for those who simply want to fine tune their knowledge. As this course is focusing on Enterprise standard, please kindly contact Datasolution (training@datasolution.kr) for the promotional code if you are representing your company. 

KNIME Meetup and Data Science Learnathon, Melbourne

- Melbourne

Our trusted partner, Forest Grove Technology, is hosting two events coming up in Melbourne in June and would like to invite you to join. Here are the descriptions of their events:

June 6: KNIME Meetup

Whether you’re new to KNIME or an experienced professional, we encourage you to join us at this free event to hear about product latest updates and key highlights from the KNIME Summit in Berlin whilst meeting fellow data scientist professionals.

Aside from latest updates there will be short talks on;

KNIME Analytics Platform Training, Sydney

Sydney

Our trusted partner, Data Chameleon, is running a half-day training for KNIME Analytics Platform in Sydney on June 6, 2019.

The goal of this training is to get you started with KNIME Analytics Platform so you can build your first workflow and begin mastering your data. There will also be an overview on the features and capabilities of KNIME Analytics Platform. Specifically, we will look at:

  • KNIME Analytics Platform workbench
  • Importing data
  • Manipulating data
  • Visualizing data

The training will be offered at the following times:

  • Morning (9:30 AM - 12:30 PM)
  • Afternoon (1:30 PM - 4:30PM)

Course for KNIME Analytics Platform, Zurich

- Zurich

Our trusted partner, Adaptagis, is running a two-day KNIME Analytics Platform Course in Zurich on June 3-4, 2019.

This course teaches you 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. 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.

Data Science Learnathon: From Raw Data to Deployment, Atlanta

Atlanta, GA

Together with our trusted partner, Starr & Associates, KNIME will be hosting a Data Science Learnathon for the first time in Atlanta, GA on May 29, 2019.

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.

Guided Analytics Learnathon: Building Applications for Automated Machine Learning, Rome

Rome

Welcome to the series of Artificial Intelligence Learnathons!

Together with SourceSense and IAML, we will be running and hosting this learnathon, which will focus on automated machine learning and data visualization. We will work in groups and each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and run from a web browser.

Guided Analytics Learnathon: Building Applications for Automated Machine Learning, Zurich

Technopark Zurich, Technoparkstrasse 1, 8005 Zurich

Welcome to the series of Artificial Intelligence Learnathons!

Together with our trusted partner, Quantum Analytics, we will be running this event which will focus on automated machine learning and data visualization. As usual we will work in groups. Each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and be run from a web browser.

KNIME Sydney User Group Meetup: KNIME Server and Guided Analytics, Sydney

Sydney

The KNIME Sydney User Group is hosting their second Meetup on May 23 and would like to invite you to join. Here is a description of their event:

Fresh from KNIME Spring Summit in Berlin, Data Chameleon will give you some feedback from the community. There also are some cool KNIME goodies from the Summit to share with everybody.

During this session, we will review the basics of KNIME Analytics Platform. For those of you who are new to KNIME, this will help you better understand what KNIME can help you do with your data. Then we will look at how to use KNIME Server for deployment - from small teams to enterprise level. We will use the Guided Analytics example provided by KNIME which is extremely powerful for both data scientists and data citizens (the term used to describe a simple data user). Finally, Eric Wong will speak about his use case. Eric is relatively new to KNIME, but became a true expert within a year.

Course for KNIME Analytics Platform, Stockholm

- Stockholm

Our trusted partner, Redfield, is hosting a Course for KNIME Analytics Platform on May 21-22, 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.

Breakfast, lunch and afternoon coffee included.

Webinar: Scoring Metrics for Classification Models

Online

You have trained a classification model with a highly sophisticated Machine Learning algorithm. Right. It is now time to evaluate its performance on test data, i.e. to score it.

A number of scoring metrics have been proposed over the years in different domains: sensitivity and specificity, precision and recall, accuracy, area under the curve, Cohen’s Kappa, and many more. Generally, they are based on values reported in a confusion matrix.

Data Coffee TECH - Data Science: From Data Preparation to Predictive Modeling, São Paulo - April 2019

São Paulo

Our trusted partner, HupData, is running this Data Coffee TECH on Data Science, an event to focus on predictive modeling.

Join HupData to explore a practical journey, involving development, automation, and the production of scaleable Data Science projects.