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Niklas Lang

I have been working as a machine learning engineer and software developer since 2020 and am passionate about the world of data, algorithms and software development. In addition to my work in the field, I teach at several German universities, including the IU International University of Applied Sciences and the Baden-Württemberg Cooperative State University, in the fields of data science, mathematics and business analytics.

My goal is to present complex topics such as statistics and machine learning in a way that makes them not only understandable, but also exciting and tangible. I combine practical experience from industry with sound theoretical foundations to prepare my students in the best possible way for the challenges of the data world.

Data Governance

What is Data Governance?

  • Data

Ensure the quality, availability, and integrity of your organization’s data through effective data governance. Learn more here.

Data Quality / Datenqualität

What is Data Quality?

  • Data

Ensuring Data Quality: Importance, Challenges, and Best Practices. Learn how to maintain high-quality data to drive better business decisions.

Data Imputation / Imputation

What is Data Imputation?

  • Data

Impute missing values with data imputation techniques. Optimize data quality and learn more about the techniques and importance.

Collaborative Filtering

What is Collaborative Filtering?

Unlock personalized recommendations with collaborative filtering. Discover how this powerful technique enhances user experiences. Learn more!

Boosting

What is Boosting?

Boosting: An ensemble technique to improve model performance. Learn boosting algorithms like AdaBoost, XGBoost & more in our article.

Outlier Detection / Ausreißererkennung

What is Outlier Detection?

  • Data

Discover hidden anomalies in your data with advanced outlier detection techniques. Improve decision-making and uncover valuable insights.

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