Overview: As I mentioned before (in part 2 of this Introduction to ML) there are several approaches to get a software solution for a problem. To give an overview there is the classical approach where everything is hard-coded. In contrast to this there are AI-approaches. On the one hand there are knowledge-based systems, that areContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 3”
Category Archives: Introduction
ML Zoomcamp 2023 – Introduction to Machine Learning – Part 2
Overview: The second part is about the distinction between Machine Learning (ML) and rule-based systems. The example of a spam filter is used to explain how the implementation would look like without ML. Rule-based systems What you need to do is to define some rules to distinguish between ham and spam. So you start definingContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 2”
ML Zoomcamp 2023 – Introduction to Machine Learning – Part 1
Overview: This is a summary of what I’ve learned from the great ML course (http://mlzoomcamp.com) by Alexey Grigorev. All images from this post are from the course material. Images in other posts can also be copies of that material. The introduction starts with an explanation about what ML really is. You can imagine a taskContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 1”
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