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 October 12, 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 October 11, 2018. We recommend to combine this course with the 2-day Course for KNIME Analytics Platform held October 9-10, 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.

KNIME Meetup, Stockholm

Gradängen, Goto 10, Hammarby Kaj 10D, Stockholm

Our trusted partner, Redfield, are hosting their first Meetup in Stockholm, Sweden with a focus on accelerated machine learning, customer intelligence, data anonymization, and inventory optimization - all with KNIME Analytics Platform.

Data blending, data cleansing, data visualization, and machine learning enhancement are all tasks you can do with KNIME - regardless of whether you're an experienced Python/R programmer or a business analyst - and at this meetup, you'll find out how.

Training: Cheminformatics Workflows with KNIME Analytics Platform, Boston

Continuum, 21 Drydock Avenue, 410 W, Boston, MA 02210

During this one-day, hands-on training you’ll learn to build interactive cheminformatics workflows using KNIME Analytics Platform and its Cheminformatics Extensions. This training contains several units where we'll cover a diverse set of topics such as data manipulation and interactive filtering, descriptors and fingerprints, machine learning and clustering, data set visualization and exploration. After completing this session you'll have a set of fully functional workflows and will have learned how to start from scratch to build your own.

Meetup: Automatization of Machine Learning, Artificial Intelligence, and Data Science Processes, Istanbul

Kadir Has University - Fener Salonu, Cibali, Kadir Has Cad., 34083 Cibali, Istanbul

SISTEK, a KMIME trusted partner in Turkey, is hosting a Meetup on October 10 in Istanbul.

The topic of the evening is "Automatization of Machine Learning, Artificial Intelligence, and Data Science Processes" which focuses on a unique approach to automating data science processes. One that ensures the necessary parts of the process are open to all relevant business units, and one that allows flexible integration of automation and interaction points. SISTEK will present the methodologies and ideas for automating data science processes and demonstrate these with a real-life example using KNIME Analytics Platform.

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 October 9-10, 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.

IoT Analytics Course with KNIME, Stuttgart

Stuttgart

KNIME is hosting a one day IoT Analytics Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 8, 2018.

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.

Meetups: Build your own Sentiment Analysis, United States

- United States

We're hosting a series of meetups around sentiment analysis, involving NLP, machine learning, deep learning, and of course text processing.

These meetups - Sentiment Analysis: Deep Learning, Machine Learning, Lexicon Based? You Choose! - will be happening in the following cities:

Data Science Learnathon: From Raw Data to Deployment, Madrid

Sngular, Calle Labastida, 1, 28034, Madrid, Spain

Join us at the next Data Science Learnathon! This time on September 27, 2018, in Madrid, Spain.

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.

Meetup: Machine Learning in der Praxis, Stuttgart

IHK Region Stuttgart, Jägerstraße 30, 70174 Stuttgart

Am Mittwoch, den 26.09.2018 ab 18.00 Uhr ist es soweit, die IHK Region Stuttgart lädt gemeinsam mit KNIME und DATATRONiQ zum KNIME Meetup nach Stuttgart ein. Die Veranstaltung findet im Rahmen der Themenwoche zur digitalen Zukunft und Innovation im Mittelstand „100 Stunden Morgen“ im Gebäude der Industrie- und Handelskammer Region Stuttgart in der Jägerstraße 30 statt.

Data Science Learnathon: From Raw Data to Deployment, Hamburg

Yelp Hamburg, Bleichenbrücke 10, Hamburg

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.

KNIME Meetup in Warsaw

EPAM Warsaw Office, Al. Jana Pawla II 23, Atrium International, 00-854 Warsaw, Poland

Our trusted partner EPAM are hosting a KNIME Meetup in September in their offices in Poland. It's free and open for anyone who is interested in learning more about data science, or simply wants to meet and network with some like-minded people.

To begin with, there'll be a short introduction to KNIME Analytics Platform, followed by a couple of talks. Krzysztof Żarna, who helped plan the very first Polish Meetup in Poznan, will discuss machine learning in KPI management. Olgun Aydin, a Senior Data Scientist at EPAM, has a guided analytics use case to share.

After the presentations there'll be an informal networking session over pizza before the meetup comes to a close.

Workshop: Data Mining and Machine Learning with KNIME Analytics Platform, Stockholm

SciLifeLab, Tomtebodavägen 23A, Solna, Stockholm

Data Mining and Machine Learning techniques have a wide variety of exciting applications nowadays. Join us at this workshop to explore the foundations of such applications and how they can be implemented with KNIME Analytics Platform. Together with SciLifeLab, we are hosting an event that will first of all bring you up to speed with KNIME Analytics Platform and then give you the opportunity to apply what you have learned in groups together with like-minded people

Data Science Learnathon: From Raw Data to Deployment, Lausanne

HES-SO Master, Avenue de Provence 6, 1007 Lausanne

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.

KNIME Online Course for Beginners - September/October 2018

- 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: September 11, September 18, September 25, October 2, October 9 always at 6pm CEST
Price: EUR 250