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"The class focuses on computer science topics that frequently come up in programming interviews. It covers time complexity, hash tables, binary search trees, and some other things you might learn in 6.046. However, most of the time is devoted to topics you won't learn in class, such as crafty bitwise logic and tricks to solving problems. "

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Over the years, we've written several notes providing brief introductions to computational methods that are often useful in the study of human cognition. Many undergraduate and graduate students have told us that these notes are extremely helpful.

* Backpropagation Algorithm
* Bayesian Estimation
* Bayesian Statistics: Beta-Binomial Model
* Bayesian Statistics: Normal-Normal Model
* Conditional Independence, Dependency-Separation, and Bayesian Networks

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Think about what you intend to communicate. Only the gifted few can respond extemporaneously and immediately with pearls of wisdom, and they're called the "gifted FEW" for a reason.

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I have a feeling it is too late for trying this...

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Protecting capitalization and other tricks I always forget.

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