Dieckmann

Development of a machine learning model for materials planning in the supply chainIn today’s rapidly changing environment, one of the most critical challenges facing companies is the ability to predict future demand accurately. This is especially true for supply chain teams, where accurate demand planning is vital for maintaining customer satisfaction and keeping costs under control.In this case study, we will explore how a data science process model can help companies tackle this challenge hands-on by leveraging…

Would you like to take your data science skills to the next level? Are you interested in improving the accuracy of your models and making more informed decisions based on your data? Then it’s time to explore the world of bagging and boosting. With these powerful techniques, you can improve the performance of your models, reduce errors and make more accurate predictions.Image by UnsplashWhether you are working on a classification problem, a regression analysis, or another data science project, bagging and boosting…

Have you ever found yourself in a situation where you were trying to analyze a complex and highly correlated data set and felt overwhelmed by the amount of information? This is where Independent Component Analysis (ICA) comes in. ICA is a powerful technique in the field of data analysis that allows you to separate and identify the underlying independent sources in a multivariate data set.Image by UnsplashICA is important because it provides a way to understand the hidden structure of a data set, and it can be used in a…

An alternative approach to understanding bias in dataImage Credits: PixabayA s the number of data science applications increases, so does the potential for abuse. It is easy to condemn developers or analytics teams for the results of their algorithms, but are they the main culprits? The following article tries to discuss the problem from a different angle and concludes that ethical abuse might be the real problem with data in our society.A better world won’t come about simply because we use data; data has its dark…

Step-by-step tutorial to analyze human activity with neuronal networksImage by Serghei Trofimov on UnsplashThis beginner tutorial aims to give a brief overview of the fundamentals of TensorFlow and to guide you through a hands-on project. The tutorial might be of value to you, if:you have built your first traditional machine learning models and now you are curious about how to get started with your first TensorFlow model.you have explored the basic concepts of TensorFlow already but you are looking for a practical…