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Probability:Outcomes and associated sample space, Binomial distribution, Random experiment, examples of random experiments giving rise to Binominal distribution, events, mutually exclusive and exhaustive events, Bayes’ theorem – simple problems, impossible and certain events, Complementary, elementary and ...
2.1.1620 Part 1 Section 21.4.2.26, sampData (Sample Data) 2.1.1621 Part 1 Section 21.4.2.27, shape (Shape) 2.1.1622 Part 1 Section 21.4.2.29, styleData (Style Data) 2.1.1623 Part 1 Section 21.4.3.2, cxn (Connection) 2.1.1624 Part 1 Section 21.4.3.4, prSet (Property Set...
A Sample of Standard ML, the TreeSort Algorithm, and Monoids2013-04-07#functional programming #mathematics #ML #programming #sorting #trees #universal properties In this post we will assume the reader has a passing familiarity with some of the basic concepts of functional programming (the map,...
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), then the errors are an instance ofaliasing(see e.g. the"wagon-wheel" effect). For band-limited signals where we sample at a rate > twice the bandwidth, there is no aliasing and no information loss, a result known as theNyquist—Shannon sampling theorem; in the common case where ...