Tag Archives: machine learning

Distill: An online visual machine learning journal

This past week, a number of heavy hitters in the machine learning community launched the first online, interactive and peer reviewed machine learning journal with a focus on publishing original research and expository papers with an emphasis on clear explanations of the core ideas. The new journal is called Distill. The steering committee consists of… Read More »

Deep and Reinforcement Learning Summer Schools 2017

Canadian machine learning researchers have already declared publicly their desire to make Canada’s Montreal a hub of innovation for machine learning methods. One can easily argue that this is already the case considering the large number of well known researchers leading the machine learning field from Montreal’s universities in close collaboration with researchers in Toronto… Read More »

Artificial Intelligence vs Machine Learning vs Deep Learning: What does it all mean?

For more than a decade, hundreds of millions of people on planet Earth have, unbeknownst to them, interacted on a daily basis with the most advanced artificial intelligence (AI) ever created. The AI I am referring to is none other than the Google search engine. Surprised? Google’s online search engine actually meets the definition of… Read More »

Free robotics courses from Stanford Engineering

Stanford University has started a new website with 10 free courses in Computer Science, Robotics, and Linear Systems and Optimization. The new Stanford Engineering Everywhere (SEE) initiative is a great opportunity for attending lectures by some of the top researchers and scientists all from the convenience of our own homes. Among the courses listed, there… Read More »

Machine Learning summer school

The 2008 Machine Learning (ML) summer school is now open for students and researchers who want to register. This is the 10th ML summer school since the first one in 2002. The school will be held at the Australian National University at Kioloa. Machine Learning is a foundational discipline of the Information Sciences, concerned with… Read More »

Christopher M. Bishop’s pattern recognition and machine learning textbook is pure gold

Last week, I finally received my copy of C. M. Bishop’s new textbook titled Pattern Recognition and Machine Learning. After reading through it for the last few days, I have to admit that this is one of the most comprehensive and up to date textbooks on the subject available today. Bishop who is a research… Read More »

Prof. Peter Stone: IJCAI-2007 Computers and Thought Award

Dr. Peter Stone who is assistant professor in the Department of Computer Sciences at The University of Texas Austin was the recipient of this year’s Computers and Thought Award. The award is presented during the International Joint Conference on Artificial Intelligence (IJCAI) to a person selected by a specially selected review committee. Prof. Stone received… Read More »

New Book: Pattern Recognition and Machine Learning

Christopher Bishop, assistant director for Microsoft Research at Cambridge, U.K., has just published a new text book titled, “Pattern Recognition and Machine Learning.” The textbook as claimed “provides a comprehensive introduction to the fields of pattern recognition and machine learning.” Its target audience is advanced undergraduates and graduate students which means that you need a… Read More »