Machine Learning Trick of the Day (6): Tricks with Sticks 2

Machine Learning Trick of the Day (6): Tricks with Sticks
· Read in  · Our first encounters with probability are often through a collection of simple games. The games of probability are played with coins, dice, cards, balls and urns, and sticks and strings. Using these games, we built an intuition that allows us to reason and act in ways that account for randomness in the world. But ...

A Statistical View of Deep Learning (VI): What is Deep? 6

A Statistical View of Deep Learning (VI): What is Deep?
Throughout this series, we have discussed deep networks by examining prototypical instances of these models, e.g., deep feed-forward networks, deep auto-encoders, deep generative models, but have not yet interrogated the key word we have been using. We have not posed the question what does 'deep' mean, and what makes a model deep. There is little in way of ...

Chinese Edition: A statistical View of Deep Learning (I)/ 从统计学角度来看深度学习

Colleagues from the Capital of Statistics, an online statistics community in China, have been kind enough to translate my first post in this series, A statistical View of Deep Learning (I): Recursive GLMs,  in the hope that they might be of interest to machine learning and statistics researchers in China (and to Chinese readers). Find it here: ...

A Statistical View of Deep Learning (I): Recursive GLMs 12

A Statistical View of Deep Learning (I): Recursive GLMs
Deep learning and the use of deep neural networks are now established as a key tool for practical machine learning. Neural networks have an equivalence with many existing statistical and machine learning approaches and I would like to explore one of these views in this post. In particular, I'll look at the view of deep ...