ml.cmu.eduMachine Learning | CMU | Carnegie Mellon University
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Title:Machine Learning | CMU | Carnegie Mellon University
Description：Machine Learning Department at Carnegie Mellon University. Machine learning (ML) is a fascinating field of AI research and practice, where computer agents improve through experience. Machine learning is about agents improving from data, knowledge, experience and interaction...
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ml.cmu.edu |
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-- — — — Search Search Machine Learning Department | CMU | Carnegie Mellon University Machine Learning Department | CMU | Carnegie Mellon University Welcoming our New Faculty Members The Machine Learning Department at Carnegie Mellon University welcomes five new faculty members to their core faculty, including Rayid Ghani, Yuanzhi Li, Andrej Risteski, Virginia Smith and Tianqi Chen. Read article -- Faculty Openings We started accepting applications as of September 3, 2019. Apply ML@CMU Has Launched Bringing you the latest research in machine learning and related at Carnegie Mellon University. Visit Publication "A breaktrough in Machine Learning will be worth 10 Microsofts." ~Bill Gates Text Machine Learning Recent News Further Reading Machine Learning Open House For Accepted Ph.D. Students March 19 and 20, 2020 We hope you can visit us for our Machine Learning Open House, which begins on March 18, 2020, with a 7:30 PM welcome reception. Learn more about our PhD Open House Globally Known in AI & ML Since 1997 Ranked #1 in Machine Learning & AI U.S. News & World Report 2018 World Renowned Faculty For PhD & Master Programs Apply What is Machine Learning? A message from Manuela Veloso - Herbert A. Simon University Professor Machine Learning (ML) is a fascinating field of Artificial Intelligence (AI) research and practice where we investigate how computer agents can improve their perception, cognition, and action with experience. Machine Learning is about machines improving from data, knowledge, experience, and interaction. Machine Learning utilizes a variety of techniques to intelligently handle large and complex amounts of information build upon foundations in many disciplines, including statistics, knowledge representation, planning and control, databases, causal inference, computer systems, machine vision, and natural language processing. AI agents with their core at Machine Learning aim at interacting with humans in a variety of ways, including providing estimates on phenomena, making recommendations for decisions, and being instructed and corrected. In our Machine Learning Department, we study and research the theoretical foundations of the field of Machine Learning, as well as on the contributions to the general intelligence of the field of Artificial Intelligence. In addition to their theoretical education, all of our students, advised by faculty, get hands-on experience with complex real datasets. Machine Learning can impact many applications relying on all sorts of data, basically any data that is recorded in computers, such as health data, scientific data, financial data, location data, weather data, energy data, etc. As our society increasingly relies on digital data, Machine Learning is crucial for most of our current and future applications. Apply to a Machine Learning Program PhD PhD in Machine Learning Joint PhD Program in Statistics & Machine Learning Joint PhD Program in Machine Learning & Public Policy Joint PhD Program in Neural Computation & Machine Learning Master's Primary Master's in Machine Learning 5th-Year Master's in Machine Learning Secondary Master's in Machine Learning Undergraduate Bachelor's of Science in Artificial Intelligence Machine Learning Minor Statistics & Machine Learning Major Follow our Instagram feed Calendar Machine Learning Department School of Computer Science 5000 Forbes Avenue Gates Hillman Center, 8th Floor Pittsburgh, PA 15213 Questions?: Contact us Get Directions Legal Info www.cmu.edu © 2019 Carnegie Mellon University Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue, Gates Hillman Center, 8th Floor Pittsburgh , Pennsylvania 15213 . N/A (412) 268-2000 About Contact Us What is Machine Learning? Academics Machine Learning (ML) PhD Joint Machine Learning PhD Programs Primary MS in Machine Learning Secondary Master's in Machine Learning (ML) ML Classes Research PhD Dissertations Data Analysis Projects Technical Reports People Core Faculty Affiliated Faculty Related Faculty Adjunct Faculty PhD Students Master's Students Alumni PostDocs & Project Scientists Staff Visitors Honors and Awards Best Paper Awards Faculty Awards Faculty Honors Student Awards News MLD News Archive 2000-2005 MLD News 2001 March 2001 June 2001 2005 December 2005 2006-2010 MLD News 2007 July 2007 2008 January 2008 August 2008 October 2008 November 2008 2009 January 2009 December 2009 2010 May 2010 July 2010 August 2010 September 2010 November 2010 2011-2015 MLD News 2011 January 2011 March 2011 April 2011 May 2011 June 2011 July 2011 October 2011 November 2011 December 2011 2012 January 2012 February 2012 March 2012 April 2012 May 2012 June 2012 August 2012 October 2012 November 2012 2013 January 2013 March 2013 April 2013 August 2013 September 2013 2014 January 2014 February 2014 March 2014 April 2014 June 2014 July 2014 August 2014 December 2014 2015 January 2015 March 2015 May 2015 July 2015 August 2015 September 2015 October 2015 2016 MLD News January 2016 February 2016 March 2016 April 2016 May 2016 June 2016 July 2016 August 2016 September 2016 October 2016 November 2016 December 2016 2017 MLD News January 2017 March 2017 April 2017 May 2017 June 2017 July 2017 November 2017 2018 MLD News February 2018 March 2018 April 2018 May 2018 June 2018 July 2018 August 2018 September 2018 October 2018 November 2018 December 2018 2019 Join Us Give Calendar Info for Current MLD Students PhD Courses & Milestones Incoming PhD Student Information Wellness Network MLD Wellness Network Confidentiality Wellness Network Members University Resources ML@CMU Blog Intranet...