PedroDomingos

페드로 도밍고스

페드로 도밍고스는 머신러닝, 인공지능, 그리고 빅데이터의 세계적인 전문가 중 한명이다. 그는 워싱턴 대학교 시애틀의 컴퓨터 과학 교수로 재직중이며 베스트셀러인 <마스터 알고리즘>의 저자다. 그는 데이터 과학 분야에서 가장 명예로운 상으로 꼽히는 SIGKDD 혁신상을 수상했으며 인공지능 발전협의회에서 펠로우로 활동하고 있다. 그는 풀브라이트 장학금, 슬로안 펠로우십, 국립과학재단의 CAREER상을 포함하여 다수의 우수논문상을 받았다.

페드로는 200개가 넘는 연구논문의 저자, 또는 공동저자로 이름을 올렸으며 총 150개가 넘는 콘퍼런스, 학회 등에서 발표를 했다. 그는 1997UC-Irvine에서 박사학위를 취득했으며 2001년에는 국제 머신러닝 사회(International Machine Learning Society)를 창립했다. 그는 스탠포드 대학교, 카네기 멜론 대학교, 그리고 MIT에서 방문학자로 근무했다. 그는 학습알고리즘, 빅데이터, 사회적 네트워크에서 입소문 효과의 극대화, unifying logic and probability 러닝에 관심을 갖고 연구중이다


Pedro Domingos

Pedro Domingos is one of the world’s leading experts in machine learning, artificial intelligence, and big data. He is a professor of computer science at the University of Washington in Seattle and the author of The Master Algorithm. He is a winner of the SIGKDD Innovation Award—the highest honor in data science—and a Fellow of the Association for the Advancement of Artificial Intelligence. He has received a Fulbright Scholarship, a Sloan Fellowship, the National Science Foundation’s CAREER Award, and numerous best paper awards.

Pedro is the author or co-author of over 200 research publications, and has given over 150 invited talks at conferences, universities, and research labs. He received his Ph.D. from the University of California at Irvine in 1997 and co-founded the International Machine Learning Society in 2001. He has held visiting positions at Stanford, Carnegie Mellon, and MIT. His research spans a wide variety of topics, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.


발표요약

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. And in the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In this presentation, Domingos, one of the leading players in this race, takes us behind the scenes for a peek at the key ideas and latest developments in machine learning, from mimicking how the brain learns to simulating evolution, and reveals how they will revolutionize business, medicine, politics, and society.

Machine learning is the automation of discovery – the scientific method on steroids – that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Domingos gives us a peek inside the learning machines that power giants like Google all the way down to the smartphone in your pocket. These programs are already helping us fight the war on cancer and predict the movements of the stock market, and they are making great headway with instant language translation and discovering new laws of nature.

Leading us through machine learning’s five major schools of thought (neuroscience, evolution, psychology, physics, and statistics) Domingos assembles a blueprint for the future universal learner – the Master Algorithm – and discusses what it means for you and for the future of business, science and society.


Comments