A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, bio...(展开全部)

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, bio...(展开全部)

Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for New Scientist. He is the author of several popular science books including The Man Who Wasn’t There, which was long-listed for the Pen/E. O. Wilson Literary Science Writing Award. He was a 2019-20 MIT Knight Science Journalism Fellow and the recipient of the Distinguished Alu...(展开全部)

A guide to the theory behind bond math formulas Bond Math explores the ideas and assumptions behind commonly used statistics on risk and return for individual bonds and on fixed income portfolios. But this book is much more than a series of formulas and calculations; the emphasis is on how to think about and use bond math. Author Donald J. Smith, a professor at Boston Univer...(展开全部)

A guide to the theory behind bond math formulas Bond Math explores the ideas and assumptions behind commonly used statistics on risk and return for individual bonds and on fixed income portfolios. But this book is much more than a series of formulas and calculations; the emphasis is on how to think about and use bond math. Author Donald J. Smith, a professor at Boston Univer...(展开全部)

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging - and beautiful - working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With "Beautiful Data", you will: explore the opportunities and challenges involved...(展开全部)

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging - and beautiful - working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With "Beautiful Data", you will: explore the opportunities and challenges involved...(展开全部)

山姆·温伯格（Sam Wineburg），斯坦福大学玛格丽特·杰克斯教育与（荣誉）历史讲座教授，她的研究集中在历史学、认知科学和教育学的交叉领域，她撰写的大量文章发表在《纽约时报》《时代》和《史密斯杂志》上。2002年，她的著作《历史思维和其他非自然行为：描绘过去教学的未来》获得了美国独立学院与大学协会颁发的弗雷德里克·W. 内斯奖。

Let’s start with two truths about our era that are so inescapable as to have become clichés: We are surrounded by more readily available information than ever before. And a huge percentage of it is inaccurate. Some of the bad info is well-meaning but ignorant. Some of it is deliberately deceptive. All of it is pernicious. With the internet always at our fingertips, what’s a tea...(展开全部)