The Basecamp for your Ascent in Machine Learning
In this blog, you will find all the topics to help you master the expedition into the world of Artificial Intelligence.
Statistics
Statistical models, rules, or methods that are used in
Artificial Intelligence is applied.
LAST ARTICLES
Retrieval-Augmented Generation (RAG) Explained: How to Connect LLMs to Your Own Data (Python Tutorial)
Why LLMs Fail at Private Data — And Why RAG Solves It Large language models like GPT-5 or Claude are trained on data up to a certain date. They don’t know what’s inside your company’s internal documentation, your product database, or last quarter’s sales report. They also can’t browse a private Notion workspace or read… Read More »Retrieval-Augmented Generation (RAG) Explained: How to Connect LLMs to Your Own Data (Python Tutorial)
What is a Nash Equilibrium?
Unlocking strategic decision-making: Explore Nash Equilibrium's impact across disciplines. Dive into game theory's core in this article.
What is a Boltzmann Machine?
Unlocking the Power of Boltzmann Machines: From Theory to Applications in Deep Learning. Explore their role in AI.
What is the Gini Impurity?
Explore Gini impurity: A crucial metric shaping decision trees in machine learning.
Python Programming Basics: Learn it from scratch!
Master Python Programming Basics with our guide. Learn more about syntax, data types, control structures, and more. Start coding today!
What are Python Variables?
Dive into Python Variables: Explore data storage, dynamic typing, scoping, and best practices for efficient and readable code.
Text Mining and NLP
If you are interested in a beginner course for text mining in Python, check out our Udemy courses.
USE CASES
In this section you will find concrete Python examples and how they solve real problems.
ML – BLOG
Latest papers, topics and everything else that is important in the world of Artificial Intelligence.
