There are thousands of facilities and universities conducting research in the field of machine learning. Most of this is slowly becoming application based. At its core though, machine learning is a higher form of mathematics. The math behind machine learning algorithms is elegant. Some people have been contributing to this for years. Today I shall take you on a journey to some people you should know, if you are interested in artificial intelligence.
Yoav Freund is a professor at the University of California San Diego. Together with Robert Schapire, he came up with the AdaBoost meta-algorithm which was one of the ground breaking revelations in the world of AI when they came up with it. Since then, he has been one of the world’s leading people in machine learning.
The Israel born genius was awarded the Godel prize in 2003 and the Paris Kanellakis Theory and Practice Award in 2004. His theories and ideas regarding ensemble learning have revolutionized the way machine learning is used in industries for large datasets. Today he is concentrating on the fields of human computer interaction and computer vision.
The man is a machine. I cannot begin to list the awards that the 81 year old has won in his lifetime. He received his Ph.D in statistics from the Institute of Control Sciences Moscow. He worked there till 1990 and then joined AT&T Bell Laboratories where he came up with the theory of Support Vector Machines and Support Vector Clustering algorithm.
Vapnik is widely known for his contribution to the Vapnik-Chervonenkis theory of statistical learning. This year he was awarded the Kolmogorov medal by University of London. He is undoubtedly one of the greatest statisticians of our time.
“ It’s critical we make it easy to bring the power of high-performance computing to developers who want to use the latest deep learning tools.”
Alex Smola is the director of Machine Learning and Deep Learning at AWS. His theories about Kernel methods threw light on one of the most complex things in machine learning. Such is Smola’s prowess that Amazon believed that hiring him could help them shake off competition from giants like Google in this fast progressing domain.
Kernel methods give a different edge to the use of Support Vector Machines and are very helpful for classification. Today, he is driving the process of making deep learning tools available to people to facilitate its application in various domains.
Leo Breiman of University of California wass one of the most important people in the history of this domain. He wass one of the greatest pioneers of ensemble learning and he came up with the idea of random forests.
He famously gave the name “Bagging” to Bootstrap aggregation. Breiman’s work with Classification and Regression Trees(CART) have been one of the cornerstones in machine learning. To this day, we remember him as one of the men who changed machine learning. He passed away in 2005 after a long battle with cancer- yes, he changed the world while fighting cancer in the 20th century.
The fact that people do not know bout people like this is quite tragic.
Source: Deep Learning on Medium