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Links 1 through 10 of 68 by Juan Manuel Caicedo tagged book

An introductory book to machine learning and probabilistic graphical models.

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"The quest to gather ever more information can make us value the wrong things and grow overconfident about what we know." A review of Evgeny Morozov's book To Save Everything, Click Here.

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This book provides an introduction to the statistical analysis of quantitative data for researches studying aspects of language and language processing.

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This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.

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"This book chronicles my six years of working towards a Ph.D. in Computer Science at Stanford University from 2006 to 2012."

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Notes for an introductory course on discrete mathematics for computer science and engineering.

Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

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Ideas about social structure and social networks are very old. People have always believed that biological and social links among individuals are important. But it wasn't until the early 1930s that systematic research that explored the patterning of social ties linking individuals emerged. And it emerged, not once, but several times in several different social science fields and in several places. This book reviews these developments and explores the social processes that wove all these "schools" of network analysis together into a single coherent approach.

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This looks like the first edition of the classic book by H.G. Wells. 

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I need this book but it's out of print and the used copies are too expensive. Should I try this 'international edition'?

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An MIT course on Douglas Hofstadter's book Gödel, Escher, Bach.  

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