How to Learn Causal Inference on Your Own for Free

While everyone focuses on AI and predictive inference, standing out requires mastering not just prediction, but understanding the “why” behind the data — in other words, mastering causal inference. <blockquote> You have heard that “correlation does not imply causation”, but few truly grasp its implications or know when to confidently assert causality. </blockquote> The distinction between predictive inference and causal inference is profound, with the latter often overlooked, leading to costly mistakes. The logic and models between the two approaches are vastly different and this guide aims to equip you with the knowledge to discern causal relationships with confidence. <a href="https://towardsdatascience.com/how-to-learn-causal-inference-on-your-own-for-free-98503abc0a06">Click Here</a>