Jerome H. Friedman

Jerome H. Friedman is a renowned statistician and computer scientist known for his contributions to data analysis and machine learning. He developed influential methods such as "random forests," a technique that improves decision-making models by combining many small decision trees, enhancing accuracy and robustness. His work helps computers better understand complex data, enabling advancements in areas like artificial intelligence, finance, and healthcare. Friedman’s innovations have significantly impacted how large, complicated datasets are analyzed, making his contributions foundational in modern data science.