Deep Learning Tutorial - Massachusetts Institute of Technology

No guarantee that the desired MLP can actually be found with our chosen learning method (learnability). Two motivations for using deep nets instead (see Goodfellow et al 2016, section 6.4.1): Statistical: deep nets are compositional, and naturally well suited to …

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Thinking fast or slow? A reinforcement learning approach

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wkool@fas.harvard.edu wouterkool.com *** p < 0.001 Contact and details Conclusion Cost-benefit arbitration between multiple RL systems Flexible adapation based on reward-advantage

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Crash Course on Basic Statistics - CBMM

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Crash Course on Basic Statistics Marina Wahl, marina.w4hl@gmail.com University of New York at Stony Brook November 6, 2013

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Tutorial on Linear Algebra - Massachusetts Institute of ...

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Linear Algebra When is a matrix invertible In general, for an inverse matrix −1to exist, has to be square and its’ columns have to form a linearly independent set of vectors –no column can be a linear combination of the others. A necessary and sufficient condition is that det ≠0.

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Crash Course on Basic Statistics

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In a small sample of data (less than 25 or so), the sample median tends to do a poor job of estimating the population median.? For task-time data the geometric mean tends to provide a better estimate of the pop-ulation’s middle value than the sample median. Mode? The most frequently occurring value.? Is useful in describing ordinal or ...

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