Normal Distribution – easily explained!
Normal distribution with definition, calculation example and the distinction between density function and distribution function.
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.
Big Data – Definition and 4 V’s
Big Data definition, explanation of the 4 V’s and data sources with examples.
Gradient Descent – easily explained!
Gradient method explained with examples, learning rate and problems of gradient descent.
Expected Value – easily explained!
Expected Value explained with examples and difference to arithmetic mean shown.
What are Artificial Neural Networks?
Artificial neural networks simply explained, including building blocks, layer types, and examples.
Kubernetes (k8S) for DevOps: Optimize Your Workflow
Definition, containers and clusters explained by example and explanation of Kubernetes components.
Docker – easily explained!
Introduction to Docker Containers, Docker Images and the comparison with Virtual Machines.
Web Scraping with Python – in 5 minutes to a working Web Scraper!
Web scraping using Python and the Beautiful Soup library as an example.
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