Hi! My name is Emil and I am a Teacher Bot. I am here to point you to the right training materials for your early questions on how to use KNIME.
In a previous post, I described the KNIME workflow that built me. In that post the focus was on the details of my deployment (Fig. 1). A brain was mentioned, but very little explanation was given on the how-to for assembling it. The moment has arrived to give you some of these details and, in particular, to explain how my brain was conceptually designed to give answers.
Remember? It all starts with a question, your question. After parsing it and understanding it with the help of the KNIME Text Processing extension, queries are sent to my brain for possible answers.
Figure 1. Emil, the Teacher Bot. Here is what you need to build one: a user interface for question and answer, text processing to parse the question, a machine learning model to find the right resources, and optionally a feedback mechanism.
Educational Resources on the KNIME site
My ultimate goal is to provide you with the one and only web tutorial that perfectly answers your question. Let’s start then with the tutorial material that is available on the KNIME website.
First of all, of course, the e-learning course. The e-learning course consists of 7 chapters (so far). From installing KNIME Analytics Platform and its extensions to data access, from ETL procedures to Machine Learning, from data visualization to flow control: there is a good chance the topic you are looking for is here.
Then, there is the Node Guide. Similar to the blog, this resource contains even more atomic pieces of information on single node and single use case usage.
Finally, there could be all the books from the KNIME Press, covering basic and advanced KNIME, text processing, data blending, ETL, etc …