Online Course

[L4-ML] Introduction to Machine Learning Algorithms - Online

- - Online

As a part of the online edition of our KNIME Spring Summit 2020 several online courses are being offered.

To cater for high demand, this course will be starting at the following times on both April 2 and April 3. Select which time you'd like to join when you register.
9:00 AM - 1:00 PM CEST - Berlin.
3:00 PM - 7:00 PM CEST - Berlin (9:00 AM - 1:00 PM EDT - New York).

This course introduces you to the most commonly used machine learning algorithms in data science applications. At the course we will explore different supervised algorithms for classification and numerical problems such as decision trees, logistic regression, and ensemble models. We will also look at recommendation engines and neural networks and investigate the latest advances in deep learning. In addition, we will examine unsupervised learning techniques, such as clustering with k-means, hierarchical clustering, and DBSCAN. We will also discuss various evaluation metrics for trained models and a number of classic data preparation techniques, such as normalization or dimensionality reduction. View (9AM) agenda. View (3PM) agenda

Each lesson includes a few hands-on exercises to understand better how the algorithm works and the importance of the various settings. This course is designed for current and aspiring data scientists who would like to learn more about machine learning algorithms used commonly in data science projects.

NOTE: You'll receive the link to your chosen course(s) one day prior to it starting. We'll be using Zoom - so please make sure you have a stable internet connection. Some courses are filling up fast! So that we can answer your questions, we're capping the courses and will have a waiting list available for any course that becomes too full. We're currently working on a schedule to offer more courses in April and May, which will be published soon on knime.com/learning/events.

Other Courses

FAQ

What level of KNIME experience is needed for this course?

You must be competent in using KNIME Analytics Platform. We strongly recommend you be at the level of an advanced KNIME user -  for example you’ve taken a basic and advanced KNIME Analytics Platform Course and/or use KNIME on a regular basis.

What do I need to have?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of KNIME here: knime.com/download.
 

What other resources will help me to get started with KNIME?
How do I join the course?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Absolutely - fire away!

Registered already for the in-person summit?

You can attend any of the online courses listed above free of charge. You should have received a promo code via email. Signing up for the first time? Courses are available at a special price of EUR 50 / apx. USD 55 (exl. VAT) per course.

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