Here are 100 books that Damned Lies and Statistics fans have personally recommended if you like
Damned Lies and Statistics.
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My professional life has been focused on teaching and research on chemical food safety as well as scientific applications of mathematics to animal and human health. The books on this list were riveting and eye-opening examples of how complex mathematical concepts, including zero and nothing, often get misused when applied to practical problems such as food safety and cancer. This misapplication is often a result of the unique properties and history of numbers like zero, which are hard to translate into practical endpoints. These books have given me a better understanding of this issue, as well as plunging me into the fascinating history of numbers through Eastern and Western civilizations.
This book on nothing and zero by a professor of mathematics provides an introduction to the history and applications of my favorite number zero. It is entertaining as well as posing provocative questions folks like me ponder “Why is there something rather than nothing?”
It is a book that effortlessly blends high and complex mathematical concepts with their historical and philosophical routes. A great read for those interested in exploring the meaning of nothing.
A symbol for what is not there, an emptiness that increases any number it's added to, an inexhaustible and indispensable paradox. As we enter the year 2000, zero is once again making its presence felt. Nothing itself, it makes possible a myriad of calculations. Indeed, without zero mathematics as we know it would not exist. And without mathematics our understanding of the universe would be vastly impoverished. But where did this nothing, this hollow circle, come from? Who created it? And what, exactly, does it mean? Robert Kaplan's The Nothing That Is: A Natural History of Zero begins as a…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
My professional life has been focused on teaching and research on chemical food safety as well as scientific applications of mathematics to animal and human health. The books on this list were riveting and eye-opening examples of how complex mathematical concepts, including zero and nothing, often get misused when applied to practical problems such as food safety and cancer. This misapplication is often a result of the unique properties and history of numbers like zero, which are hard to translate into practical endpoints. These books have given me a better understanding of this issue, as well as plunging me into the fascinating history of numbers through Eastern and Western civilizations.
My exposure to the number zero over four decades teaching and doing research in mathematics, nanoscience, chemical toxicology, and food safety made me wonder why this number, quantifying nothing, was such a problem whenever it is encountered.
This easy-to-read book gives a complete history of zero from the ancients to the present, as well as illustrating some of its unique properties across numerous disciplines. It is an eye-opening journey into the fascinating properties of a truly unique number.
The author argues that the biggest questions in science and religion often involve nothingness and eternity, with the resulting clashes over zero shaping the foundations of philosophy, science, mathematics, and religion.
Simply a wonderful book about such a peculiar number!
The Babylonians invented it, the Greeks banned it, the Hindus worshipped it, and the Christian Church used it to fend off heretics. Today it's a timebomb ticking in the heart of astrophysics. For zero, infinity's twin, is not like other numbers. It is both nothing and everything.
Zero has pitted East against West and faith against reason, and its intransigence persists in the dark core of a black hole and the brilliant flash of the Big Bang. Today, zero lies at the heart of one of the biggest scientific controversies of all time: the…
My professional life has been focused on teaching and research on chemical food safety as well as scientific applications of mathematics to animal and human health. The books on this list were riveting and eye-opening examples of how complex mathematical concepts, including zero and nothing, often get misused when applied to practical problems such as food safety and cancer. This misapplication is often a result of the unique properties and history of numbers like zero, which are hard to translate into practical endpoints. These books have given me a better understanding of this issue, as well as plunging me into the fascinating history of numbers through Eastern and Western civilizations.
This book is the best I have read on how simple and sound properties in science can be so misapplied in the legal system.
Thresholds and tolerances defined by specific scientific principles and studies, once incorporated into laws, can have unattended consequences when applied to scenarios never anticipated by the original studies.
The book gives numerous examples of well-intentioned laws creating havoc and causing harm when misapplied to new scenarios. It is a book that often comes to mind when I read the basis of a new regulation based on data that we never generated for that purpose.
“We need a new idea of how to govern. The current system is broken. Law is supposed to be a framework for humans to make choices, not the replacement for free choice.” So notes Philip K. Howard in the new Afterword to his explosive manifesto The Death of Common Sense. Here Howard offers nothing less than a fresh, lucid, practical operating system for modern democracy. America is drowning—in law, lawsuits, and nearly endless red tape. Before acting or making a decision, we often abandon our best instincts. We pause, we worry, we equivocate, and then we…
The problem is not with the actions young women take but with the toxic, sexist conditions they are responding to.
Tanenbaum found, based on six years of interviews with young people ages 14-30, that young women are navigating a culture littered with gendered dress codes, revenge porn, and sexually explicit…
My professional life has been focused on teaching and research on chemical food safety as well as scientific applications of mathematics to animal and human health. The books on this list were riveting and eye-opening examples of how complex mathematical concepts, including zero and nothing, often get misused when applied to practical problems such as food safety and cancer. This misapplication is often a result of the unique properties and history of numbers like zero, which are hard to translate into practical endpoints. These books have given me a better understanding of this issue, as well as plunging me into the fascinating history of numbers through Eastern and Western civilizations.
This book provides an interesting take on the history of mathematics from a truly global perspective, a viewpoint often ignored in traditional history books on this subject.
I found it fascinating as it showed how crucial the development of numbers was to a myriad of different societies, as well as how mathematical concepts emerged independently at different times in different cultures over the last six thousand years.
A revisionist, completely accessible and radically inclusive history of maths
'Lively, satisfying, good at explaining difficult concepts' The Sunday Times
Mathematics shapes almost everything we do. But despite its reputation as the study of fundamental truths, the stories we have been told about it are wrong. In The Secret Lives of Numbers, historian Kate Kitagawa and journalist Timothy Revell introduce readers to the mathematical boundary-smashers who have been erased by history because of their race, gender or nationality.
From the brilliant Arabic scholars of the ninth-century House of Wisdom, and the pioneering African American mathematicians of the twentieth century, to…
I taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
This book is kind of a fun crash course in statistics which covers all the basic concepts at an introductory level.
The cartoons are a little bit dated, but still entertaining. There are lots of pictures and graphs which are a pleasure if you are a visual learner. The reader will come away with many useful tools to help understand real world problems.
I’m a retired math professor, but still got a real kick out of this book and especially appreciated the many good examples referenced such as gender discrimination in salaries and racial discrimination in jury selection. I recommended it to many of my struggling students.
Updated version featuring all new material. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more-all explained in simple,…
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
Crossing is a vividly human re-imagining of the love, sacrifices, and accomplishments that two Chinese brothers - American Immigrants - experience as they travel to California to build the Transcontinental Railroad.
I’ve been fascinated by information technology since I was a child–whether in the form of books, libraries, computers, or cell phones! Living through a massive expansion in the volume of data, I believe it is essential to study the long history of information to make sense of our current data-driven times–which is why I became a historian of data, which I teach and write about full time. Here are some of the most informative and insightful books that have helped me make sense of our issues, ranging from information overload and artificial intelligence to privacy and data justice.
Finding yourself overwhelmed, confused, or just plain curious about artificial intelligence?
Then this is the book for you! Wiggins and Jones provide a lucid, comprehensive overview of how we arrived at our current data-saturated times and how artificial intelligence emerged from the political climate of the Cold War as one attempt in a longer history of the ties between political power and information.
I found myself constantly surprised and enlightened by the history of data sketched out by Wiggins and Jones!
From facial recognition-capable of checking us onto flights or identifying undocumented residents-to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the birth of eugenics in Victorian Britain to the development of Google search.
Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew Jones illuminate the ways in which data has long been used as a tool and a weapon in…
I am a financial data scientist. I think it is important that data scientists are highly specialized if they want to be effective in their careers. I run a business called Conlan Scientific out of Charlotte, NC where me and my team of financial data scientists tackle complicated machine learning problems for our clients. Quant trading is a gladiator’s arena of financial data science. Anyone can try it, but few succeed at it. I am sharing my top five list of math books that are essential to success in this field. I hope you enjoy.
One of my favorite professors, Gretchen Martinet, used this to teach a course called “Mathematical Statistics” when I was at the University of Virginia. It is an extremely profound course full of dense but fundamental mathematical proofs in classical statistics.
You will learn why the formula for the normal distribution is the way it is, why the sum of squares appears everywhere in statistics, and how to fit a linear regression by hand. In the same way calculus elevates our understanding of rates of changes, the book elevates your understanding of samples, averages, and distributions. Quant trading requires an intuitive sense of how data, models, and aggregates work, making this content essential for your success.
Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data.
The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
I have used this book to teach my Financial Risk Analytics course at Northwestern University for many years. As a textbook, it is surprisingly easy to read, and the abundant exercises are great. This would be a foundational text to read after you have read my own books. It puts you on solid ground to understand all the financial babble that you may read elsewhere. It includes extensive coverage of most basic topics important to a serious quantitative trader, while not being overly mathematical. Easily understandable if you have basic programming and math background from first year of university.
Everything is practical in this book, which isn’t what you would expect from a textbook! There is no math for math’s sake. I have used the techniques discussed in this book for real trading, and for creating features at my machine learning SaaS predictnow.ai. Examples: What’s the difference between net…
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code…
At five years old, Kasiel was found with the pointed ends of his ears cut off. Despite that brutal start, he’s lived twelve peaceful years with the man who took him in. Keeping his hair long over his mutilated ears helps him hide the fact that he is Vanrian, a…
I’m an Associate Professor in the University of Alabama’s Department of Philosophy. I worked as an FBI Special Agent before making the natural transition to academic philosophy. Being a professor was always a close second to Quantico, but that scene in Point Break in which Keanu Reeves and Patrick Swayze fight Anthony Kiedis on the beach made it seem like the FBI would be more fun than academia. In my current position as a professor at the University of Alabama, I teach in my department’s Jurisprudence Specialization. My primary research interests are at the intersection of philosophy of law, political philosophy, and criminal justice. I’ve written three books on policing.
I love this book because it reminds us of the many ways that technology can affect justice.
It is tempting to think sophisticated tactics such as “predictive policing” can solve all problems relating to human bias. However, Brayne shows that data and algorithms do not eliminate bias and discretion. Instead, high-tech police tools simply make bias less overt and visible, which erodes the public’s ability to hold the police accountable.
I especially enjoyed how the book flips the script, considering diverse ways to use these tools to help the public. For example, how can municipalities use technology to analyze the underlying factors that contribute to policing problems in the first place?
The scope of criminal justice surveillance, from the police to the prisons, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences.
In Predict and Surveil, Sarah Brayne offers an unprecedented, inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law…
