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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning. Chapter 2: Probability distributions. General. Density estimation : Model probability distribution of a R.V. given a finite set of observations. Parametric distributions : Gaussian, Bernoulli, Multinomial, Exponential family.

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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning. Chapter 2: Probability distributions. Parametric Distributions. Basic building blocks: Need to determine given Representation: or ? Recall Curve Fitting. Binary Variables (1). Coin flipping: heads=1, tails=0

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1.25k views • 86 slides

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Partitioned conditionals - PowerPoint PPT Presentation

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning