(no subject)
Вот получаешь ты очередную рассылку курса Learning How To Learn.
Открываешь письмо, чтобы отписаться, потому что не очень интересно следить, где ещё Барбара Оакли собирается встретиться со своими поклонниками.
А там внезапно (ну правда, заголовок письма не предвещал) подборка научпопа про статистику и теорию вероятностей. Мне как раз после "Несовершенной случайности" Млодинова надо пополнить список на чтение по этой теме.
Скопирую сюда.
"We have a minor hobby of reading books about statistics and probability. In fact, statistics and probability shape everything around you, so the more you learn, the deeper your awareness of life. You don’t need to understand every detail of the math to still pick up useful insights. In fact, many of these books don’t rely on equations to convey their main ideas. Here’s our “all star” listing:
- The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century, David Salsburg. One of the best histories of statistics, wrapped up in beautiful stories. A wonderful book!
- Freakonomics: A Rogue Economist Explores the Hidden Side of Everything, by Steven Levitt and Stephen Dubner. This first is still our favorite of Levitt and Dubner’s wonderful series of books. You couldn’t find a better way to understand everything from how and why school teachers cheat to the strange world of sumo wrestling.
- The Signal and the Noise: Why So Many Predictions Fail--but Some Don’t, by Nate Silver. Sometimes it’s hard to get a grasp on Bayesian ways of thinking. Not when Nate Silver writes about it! He not only makes everything easy to read-he makes it exciting!
- The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy, by Sharon Bertsch McGrayne. Okay, we’re suckers for history with regards World War II, so that makes this excellent book a “two-fer”--fascinating insights about probability mixed with compelling stories about vital historical events."
Вторая и третья переведены на русский, про остальные не знаю.
Открываешь письмо, чтобы отписаться, потому что не очень интересно следить, где ещё Барбара Оакли собирается встретиться со своими поклонниками.
А там внезапно (ну правда, заголовок письма не предвещал) подборка научпопа про статистику и теорию вероятностей. Мне как раз после "Несовершенной случайности" Млодинова надо пополнить список на чтение по этой теме.
Скопирую сюда.
"We have a minor hobby of reading books about statistics and probability. In fact, statistics and probability shape everything around you, so the more you learn, the deeper your awareness of life. You don’t need to understand every detail of the math to still pick up useful insights. In fact, many of these books don’t rely on equations to convey their main ideas. Here’s our “all star” listing:
- The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century, David Salsburg. One of the best histories of statistics, wrapped up in beautiful stories. A wonderful book!
- Freakonomics: A Rogue Economist Explores the Hidden Side of Everything, by Steven Levitt and Stephen Dubner. This first is still our favorite of Levitt and Dubner’s wonderful series of books. You couldn’t find a better way to understand everything from how and why school teachers cheat to the strange world of sumo wrestling.
- The Signal and the Noise: Why So Many Predictions Fail--but Some Don’t, by Nate Silver. Sometimes it’s hard to get a grasp on Bayesian ways of thinking. Not when Nate Silver writes about it! He not only makes everything easy to read-he makes it exciting!
- The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy, by Sharon Bertsch McGrayne. Okay, we’re suckers for history with regards World War II, so that makes this excellent book a “two-fer”--fascinating insights about probability mixed with compelling stories about vital historical events."
Вторая и третья переведены на русский, про остальные не знаю.