Carlos Guestrin

Carlos Guestrin is the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington. He is also a co-founder and CEO of GraphLab Inc., focusing large-scale machine learning and graph analytics. His previous positions include the Finmeccanica Associate Professor at Carnegie Mellon University and senior researcher at the Intel Research Lab in Berkeley. Carlos received his PhD and Master from Stanford University, and a Mechatronics Engineer degree from the University of Sao Paulo, Brazil. Carlos' work has been recognized by awards at a number of conferences and two journals: KDD 2007 and 2010, IPSN 2005 and 2006, VLDB 2004, NIPS 2003 and 2007, UAI 2005, ICML 2005, AISTATS 2010, JAIR in 2007 & 2012, and JWRPM in 2009. He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, IBM Faculty Fellowship, the Siebel Scholarship and the Stanford Centennial Teaching Assistant Award. Carlos was named one of the 2008 `Brilliant 10' by Popular Science Magazine, received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
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Machine Learning: Classification (Coursera) Coursera
University of Washington

Machine Learning: Classification (Coursera)

Dive into the world of machine learning with 'Machine Learning: Classification' on Coursera. This course equips you with essential skills in building classification models, focusing on practical applications like analyzing sentiment and predicting loan defaults. Gain insights into financial data and text-based reviews to enhance your predictive modeling capabilities.

Jun 22nd 2026
5-12 Weeks
Machine Learning: Regression (Coursera) Coursera
University of Washington

Machine Learning: Regression (Coursera)

Dive into 'Machine Learning: Regression' on Coursera, where you'll explore the art and science of predicting continuous outcomes. This course will guide you through creating models that forecast real-world scenarios such as housing prices based on various features. Whether you're in data science, finance, healthcare, or any field dealing with predictive analytics, this course offers valuable insights into regression analysis.

Jun 22nd 2026
5-12 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Discover how machine learning can transform your business by enrolling in 'Machine Learning Foundations: A Case Study Approach'. This hands-on course provides a thorough understanding of key machine learning concepts and techniques, equipping you with the skills to analyze data effectively and make informed decisions. Learn from real-world examples and apply what you've learned immediately.

Jun 22nd 2026
5-12 Weeks
Machine Learning: Clustering & Retrieval (Coursera) Coursera
University of Washington

Machine Learning: Clustering & Retrieval (Coursera)

Dive into the world of Machine Learning with our 'Clustering & Retrieval' course. Explore techniques for finding similar documents, efficient retrieval methods, and uncovering new topics in vast datasets. Perfect for data enthusiasts and professionals seeking to enhance their skills in document analysis and information retrieval.

Jun 22nd 2026
5-12 Weeks
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