Dive into the world of image segmentation, where pixels become storytellers. On this journey, I will uncover the secret of how simple pixels become meaningful predictions. Join me and explore the art and science of image decoding. Get ready for a fascinating adventure that demystifies the magic behind images. Let’s go on this enlightening journey together!
Tag Archives: Machine Learning
Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4
In our expedition through the realms of machine learning and data science, we’ve traversed the critical phase of “Problem Understanding,” laying the groundwork for the transformative journey that lies ahead. As we transition to the next phase, “Data Understanding and Data Sourcing,” let’s carry forward the insights gleaned from our problem understanding phase. The datasetsContinue reading “Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4”
Project Guide – Environment – Part 2
Welcome back to the second part of our machine learning project initiation series! In the first article, we had a quick refresher of CRISP-DM, and I promised we’d start with the first phase – but hold on, let’s backtrack a bit. Setting the Stage for Success Before we jump into the first phase, let’s talkContinue reading “Project Guide – Environment – Part 2”
Unleashing the Power of Data: A Comprehensive Guide to ML/DL Datasets
In the ever-evolving landscape of machine learning and deep learning, access to high-quality datasets is a key factor that can make or break a project. Whether you’re a seasoned data scientist or a curious beginner, having a reliable go-to list of datasets is like having a treasure trove at your fingertips. Navigating the Sea ofContinue reading “Unleashing the Power of Data: A Comprehensive Guide to ML/DL Datasets”
ML Zoomcamp 2023 – Introduction to Machine Learning – Part 3
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”
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”
knowMLedge.com 