Category 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 »

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 »

Reinforcement learning competition

The machine learning community will be holding their second annual reinforcement learning (RL) competition designed to test new RL algorithms in a variety of complex domains including a real-time strategy game, soccer competition, Tetris, helicopter simulation and others. Specifically, the competition will include the following events, Mountain Car: Perhaps the most well-known reinforcement learning benchmark… Read More »

JBoost: Free AdaBoost implementation

For those interested in machine learning and are looking for a nice implementation of a number of boosting algorithms including the basic AdaBoost and its variants LogitBoost, BrownBoost, BoosTexter and (soon) NormalBoost, you should check out the JBoost software from the University of California, San Diego. Other than the implementation of a large number of… Read More »

Reinforcement learning myths and successes

The ultimate goal of artificial intelligence research has always been to construct autonomous agents that can function in complex and higly dynamic environments. Such intelligent agents should be able to improve their performance over time learning from their experiences while exploring their environment. Reinforcement Learning (RL) is a discipline of AI with a focus on… Read More »

Reinforcement learning for intelligent agents

Reinforcement learning (RL) is a field in artificial intelligence that is concerned with the problem of enabling agents to learn new skills through their interaction with the environment. A reinforcement learning agent continuously tracks the state of its environment and chooses actions in order to maximize the total reward received over long periods of time.… Read More »