What every CEO should know about introducing AI in the company
AI is THE topic of the future, but unfortunately there is still a lot of uncertainty. Here are five tips for CEOs on what to do now.
The blog about and around data science
Category: Practice
Data Science
Expert knowledge
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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.
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.
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.
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.
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Dr. Michael Mederer
Till Jäkel