IntroductionMachine Learning (ML) is transforming the way we live, work, and interact with technology. From personalized recommendations on Netflix to real-time fraud detection in banking, ML algorithms are at the core of modern applications. For those just starting out, this…

 Introduction  Algorithms feel magical—screening résumés, approving loans, suggesting shows. Yet behind their sleek dashboards lies bias. When Machines Learn Human Bias: Ethical Challenges in Data Science isn’t an academic abstraction; it’s a pressing social issue. People who learn artificial intelligence in…