## [Notes] Learning From Data – A Short Course: e-Chapter 9

Page 30: Why ? My understanding:   as the events and are independent, the same goes for the event . Note that both data points and may exist in dataset so if is a deterministic hypothesis then it is obviously  as . If is a non-deterministic hypothesis,  is still independent from the random target function (even “ are […]

## Learning From Data – A Short Course: Exercise 9.6

Try to build some intuition for what the rotation is doing by using the illustrations in Figure 9.1 to qualitatively answer these questions. (a) If there is a large offset (or bias) in both measured variables, how will this affect the ‘natural axes’, the ones to which the data will be rotated? Should you perform […]

## Learning From Data – A Short Course: Exercise 9.4

Let and  be independent with zero mean and unit variance. You measure inputs and . (a) What are variance (), variance () and covariance ? First, we have:                 Now, we consider and get: Expected values:             Variance:           […]

## Protected: Giới thiệu về Support Vector Machine – Phần 1

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