Data Science
ChatGPT-o1 vs. ChatGPT-4o
ChatGPT-o1 compared to its predecessor ChatGPT4o, what new features are there and when is which AI more suitable? Our data scientist Mark put the algorithms to the test.
The blog about and around data science
Data Science
Geostatistics against malaria: recognizing and combating insecticide resistance
Malaria remains one of the biggest health challenges in tropical regions. In this article you will learn how modern geostatistics against malaria is used to map resistance, identify trends and develop effective strategies to combat this disease.
Data Science
News
AI as a competitive advantage: 8 groundbreaking factors for companies
With the rapid development in the field of AI, it is important to keep an overview. We address 8 factors that are important for the success of AI in companies.
Data Science
Expert knowledge
News
Practice
Leveraging Advanced Forecasting Techniques with StatsForecast: A Case Study
Forecasts for intermittent data are often difficult. Torben examines whether the Statsforecast package can be used and describes which evaluation methods are useful.
Data Science
Expert knowledge
News
Practice
The importance of unit tests and testing in general in data science
Testing in data science projects is often neglected. In this blog post, you can find out what the consequences are and how it can be done better.
News
Practice
How a strong corporate culture promotes the success of AI projects
Successful AI implementation depends to a large extent on the corporate culture.
This article sheds light on how fundamental values, norms and behaviors in the company support the introduction of AI.
Data Science
News
Technology trends
Python package management: A new, promising tool called UV
The new Python package management tool UV offers some interesting advantages over previous tools. Find out what they are and what we expect from UV in this blog post.
Data Science
News
Project Management
Four Pitfalls of Agile Work in Data Science Teams (And How You Can Avoid Them)
Agile project management can be challenging in data science teams.
Natalia describes the stumbling blocks that can occur and how to overcome them in this blog post!
Expert knowledge
Practice
The importance of data storytelling in large-scale projects: More than just data quality
In this blog post, Michael describes why data storytelling goes far beyond pure data quality and how it enables companies to realize the full potential of their data.
Project Management
A personal journey to the how and why of my PMP certification!
Sara vividly describes her journey to becoming a certified project manager.
In addition to her personal insights, you will find helpful tips on PMP certification.
Expert knowledge
Introduction to ragged tensors
We review Tensorflow’s concept of ragged tensors, which were introduced at the end of 2018. We explain their basic structure and why they are useful.
Expert knowledge
Practice
What is preventive maintenance?
The term “preventive maintenance” is often used in connection with the optimization of maintenance plans.
Practice
Wiki
Information entropy defined as easy as pie!
What is information entropy? Let’s assume that in summer we want to send our friends a telegram from Hamburg to St. Petersburg every day about the weather conditions: sunny, slightly cloudy, overcast, rainy.
Practice
Technology trends
Estimation of a customer-specific offer acceptance probability
This post presents a modern approach to estimate an individual probability curve for the acceptance of an offer from historical accepted and rejected transaction data.
Expert knowledge
Technology trends
Modern pricing in the revenue management environment
Traditionally, offer prices for products or services are charged on the basis of the costs incurred, plus a target margin. Since the end of the last century, there has been a second approach to setting bid prices…
Practice
Technology trends
New publication in the trade magazine “Digitale Welt”
Publications are the basis of scientific work: scientists and practitioners all over the world use these results.
Practice
Technology trends
Deep Lattice Networks (DLN)
Frequent problems that we are confronted with can be traced back to a (multidimensional) regression or a classification. Starting from a set of characteristics, regression attempts to represent the dependency between the characteristics and a target variable as a function.
Practice
Wiki
Bayesian statistics as an extension of machine learning methods
Based on Bayes’ theorem, Bayesian statistics has developed, which is used in the context of inductive statistics and machine learning to estimate parameters and test hypotheses.
News
Welcome to m2hycon
Here it is: the m2hycon blog! After 25 years in mathematical consulting for companies, we have now decided to use this medium as well.
Do you have questions about our blog posts? Contact our editorial team…
Dr. Michael Mederer
