Interview Question 2: Central Limit Theorem

1 Q: Roll 100 dice together, what is the probability that the sum of all dice is 400? A Central Limit Theorem: Let X1,X2,...Xn be independent and identically distributed random variables. The sum of these random variables approaches a normal distribution as n i=1nXiN(nμ,nσ2) , where μ=E[Xi] and σ2=Var(Xi). Let X be the value of a die.

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Interview Question 1: Expectations

1 Given a deck of 52 cards, only consider the color black and red. Shuffle the cards. Define that a group is a sequence of same-color cards. For example, Red/Black/Black/Black/Red/Red is an array of 3 groups. Q: What is the expected number of groups? A: Consider a simple case of 2 cards. If they have the same color, the E will be 1. E will be 2 if the 2 cards have different colors.

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ML Note: Entropy

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ML Note: Regularization

#the-canvas { border: 1px solid black; direction: ltr; width: 100%; height: auto; } #paginator{ text-align: center; margin-bottom: 10px; } Previous Next     Page: / window.onload = function() { var url = "\/files\/Regularization_Note.pdf"; var pdfjsLib = window['pdfjs-dist/build/pdf']; pdfjsLib.GlobalWorkerOptions.workerSrc = '/js/pdf-js/build/pdf.worker.js'; var pdfDoc = null, pageNum = 1, pageRendering = false, pageNumPending = null, scale = 3, canvas = document.getElementById('the-canvas'), ctx = canvas.getContext('2d'); function renderPage(num) { pageRendering = true; pdfDoc.

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