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Product details

File Size: 92844 KB

Print Length: 830 pages

Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits

Publisher: Cambridge University Press; 1 edition (November 30, 2012)

Publication Date: February 21, 2013

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B00A8GYY80

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I bought this book right after I completed the coursera online course Probability offered by Univ of Penn Professor Venkatesh. For me, it was the greatest series of speeches since Lincoln's Cooper Union address. Dr. Venkatesh's command of English, and his full force of reasoning and logic, is a wonder to behold.Now back to the book. It is not possible to overstate how good this book is. I tried to give it 10 stars, five is an insult.You have taken all the lower division courses in engineering or computer science, data structure, algorithm, programming languages, a little probability in discrete math, linear algebra, or whatever they do at your institution of higher learning. You can write a mobile application and show your grandma how cool that works on her smart phone. Now it's time to get serious. you are thirsty for something meatier and more intellectual.Get this book. Start at page one. Read until you come to the word Example or Theorem. Do not read the solution or proof. Solve or prove it yourself. Or at least try. If you get stuck read a line or two until you see what to do.Thrust, repeat.If you make it through the first six or seven chapters like this then there shall be no power in the universe that can stop you. Enjoy graduate school. You are half way there.Some people complain about this book not practical enough for engineers. Don't listen to them. They are just trying to pull you down and keep you from your true destiny. They are the same people who try to sell you TV and lobotomies."but this book is one that few besides mathematicians will appreciate. Engineers and other practical-minded folks should take his course but lookfor another book..."Not appreciated? Judas just stick a dagger in my heart. This is THE book that blends theory and application, providing all kinds of flavors for thethought experiments, or Gedenken experiments. All the examples are beautifully practical and thought provoking. The theorems are introduced in appropriate places, and with rigor. Sloppiness is doing you no favor whatsoever. The material needs no motivation, it is motivation per se. Just do it. Faith will come. He's teaching you probability. Not selling you a used car. By the time you are ready to read this book you should not need motivation from the author as to why you need to know probability in depth. You should just feel a burning in you chest that can only be quenched by arguments leading to Chebyshev's inequality and Central limit theorem.Maybe the complainer had a point, as we know probabilistically that nowadays half of the engineers/computer scientists are either loafing around or producing bugs; while half of the other half are only marginally competent, they can only strictly follow cookbook recipes. Only about a quarter are good enough. Those are the people this book targets, along with mathematicians and physicists.The same people who complained may be scared by the level of abstraction, which let me just say is not that high. If you want to see abstraction grab a copy of Spanier's 'Algebraic Topology' and stare at it for about an hour. Then open this book up again. I promise you it is the feeling you get when you sit in a hot-tub for like twenty minutes and then jump back in the pool. Invigorating.Anyway, It's lame that some people, who have no desire, will or capacity to seriously study a book, are calling it unpractical and giving it two stars. How more practical can you get than this book. It's loaded with practical stuff. It's unethical to use another text for an upper level undergraduate probability class. It insults and short changes the students. Sure it was OK before Dr. Venkatesh wrote the thing to use another text such as Sheldon Ross or Bertseka and Tsitsiklis, but now? Why spit on your luck? And if you'r a student and find the book too hard? Try harder. That's the point. If you did not crave intellectual work why are you sitting in a probability course? He is not trying to teach you or your high school drop-out friends how to fry a burger or milk a cow, for sure. You need to dig in. It will make you a better person. Trust me. Or you could just change your major to go to MBA, medical or law school . It's more money and the books always have real world nice stories to tell. Or maybe milking a cow is your true calling.Oh, and if you can solve the harder (dangerous bend) problems in Venkatesh's book, with 95% confidence level, you can do pretty much anything in the world, so it's a major confidence booster!In conclusion: Thank you Dr. Venkatesh for your wondrous book on probability, arguably the best since William Feller's classic. You inspired and promised to make a man of me. I heed you.

In college I was left with the distorted idea that probability theory is a sub-field of measure theory. Growing older it dawned on me that something else is at work in probability. Yes, probabilists do use heavily measure theoretic concepts, but they are guided by a different star I would call probabilistic thinking. I could not easily define what I mean by probabilistic thinking. You have to look at a couple of problems that motivated research in this field to understand this. I believe that the only way to understand probability is through many concrete examples.This book has a marvelous and eclectic collection of classic and very modern examples. The author, who is clearly passionate about this stuff does a superb job presenting all the facets of these examples. The intended audience is a person with a moderate level of mathematical sophistication and the author has that person in mind at all times. He goes beyond the formalities of a proof and often he gives suggestive heuristics which are extremely helpful in unraveling the details. I have to say he does not go for the trivial. Most the examples discussed are far from trivial, many describing ground-breaking results, but they all are intellectually extremely rewarding. The historical anecdotes and the very elegant language enhance the overall experience.The theory is very precisely presented, but it plays a secondary role to the examples. The number of topics covered may seem small when compared to the size of the book. However, what may seem to have been lost in breadth, is more than made up in depth.This is a carefully conceived and produced nice book ideally suited to motivated beginner in probability. I open it often at random and go through an example knowing that it will brighten my day. Try it and you will be rewarded.

The book is excellent, but I find one major flaw. It would be much better if the reader had access to the web site featured on the back cover which promotes the 500 homework problems and 250 worked examples that are included. These are accessible only for those of us who are using the volume to teach a course. If this were correctly advertised, some potential buyers (like me) might seek other titles.

I've had trouble with measure theory for a long time. This book cleared the topic up well.

Excellent.

I purchased this book for self study as a supplement for his lecture series on probability given through Coursera. Dr. Venkatesh is a very gifted teacher and lecturer but this book is one that few besides mathematicians will appreciate. Engineers and other practical-minded folks should take his course but look for another book, such as the one by Bertseka and Tsitsiklis.

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