Causal Data Science

RadialGraph: A New Way To Explore Large Networks Without the Hairball.

This new graph transforms complex networks into intuitive, interactive knowledge maps where hidden relationships become easy to explore and discover.

Aug 14 • erdogant

1

20:06

July 2026

Can LLMs Discover Cause and Effect? A Benchmark Against Bayesian Models and the Problem of Knowledge Leakage.

LLMs may generate convincing answers, but how trustworthy are the results? Hidden knowledge acquired during pre-training can influence conclusions…

Jul 23 • erdogant

4

39:20

Can LLMs Discover Cause and Effect? A Benchmark Against Bayesian Models.

LLMs may generate convincing answers, but how trustworthy are the results?

Jul 13 • erdogant

3

1

39:20

Knowledge Leakage Is the New Data Leakage in LLMs.

Your LLM may know more than your data. Learn how knowledge leakage can silently influence your results.

Jul 4 • erdogant

13:19

June 2026

A Step-by-Step Guide for Developing Your Personal Agentic System.

A complete guide to learn how to set up and create your own agentic LLM system with local databases and specialized for your task.

Jun 14 • erdogant

21:20

May 2026

Hyperparameter Tuning of Boosting Regression Models Without Overfitting.

Learn how To Master Bayesian hyperparameter optimization for boosted decision tree models such as XGBoost, CatBoost, and LightGBM while preventing…

May 24 • erdogant

20:04

Six Causal Libraries Compared: Which Bayesian Approach Finds Hidden Causes in Your Data?

Six Bayesian libraries are put to the test. See how they perform, where they fail, and which one works best for your causal tasks.

May 8 • erdogant

2

20:52

The Ultimate Tool for Flight Planning and Preparation Is Finally Here.

Flying is one of the greatest achievements in human history. A safe journey requires a prepared pilot. However, the preparation step can be laborious…

May 5 • erdogant

1

19:22

April 2026

The Next Step is Responsible AI, But How Do We Get There?

Machine learning solutions take an important place in our lives. It is not only about performance anymore but also about responsibility.

Apr 23 • erdogant

22:49

How to Train a Dragon: Hyperparameter Tuning for Gradient Boosting Without Overfitting

With boosted decision tree algorithms, such as XGBoost, CatBoost, and LightBoost, you may outperform other models, but overfitting is a real danger…

Apr 6 • erdogant

18:43

March 2026

Mastering Causal Thinking: How to Build Causal Strategies For Real-World Environments.

The journey from raw data to actionable results goes through four progressive stages of analytics: Descriptive, Diagnostic, Predictive, and…

Mar 13 • erdogant

2

19:55

December 2024

What Are PCA Loadings And How To Effectively Use Biplots?

A practical guide for getting the most out of Principal Component Analysis.

Dec 27, 2024 • erdogant

11:13