Here are 81 books that Counting fans have personally recommended if you like
Counting.
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I grew up in a family of artists and then went to art school, so I have been thinking visually my entire life. I have always collected random, inspiring books with both words and images. I love being able to pick up a book and read a chapter at a time or flip through it for visual inspiration. I keep some of my favorite books at my bedside just because they give me comfort. There are so many more books I could recommend in the category I have chosen!
If you are interested in the history and stories behind the colors that we see daily, this book is for you.
I loved discovering that gold is the color of desire, when and how shades of blue were first discovered, and what is mixed to create blue pigment. Modern stories of punk rock pink, to the first colors painted on the walls of caves.
It is a fascinating read that you can pick up whenever you are curious about the colors in your world.
One of USA Today's "100 Books to Read While Stuck at Home During the Coronavirus Crisis"
A dazzling gift, the unforgettable, unknown history of colors and the vivid stories behind them in a beautiful multi-colored volume.
"Beautifully written . . . Full of anecdotes and fascinating research, this elegant compendium has all the answers." -NPR, Best Books of 2017
The Secret Lives of Color tells the unusual stories of seventy-five fascinating shades, dyes, and hues. From blonde to ginger, the brown that changed the way battles were fought to the white that protected against the plague, Picasso's blue period to…
I have long been struck, as a learner of French at school and later a university professor of French, by how much English borrows from French language and culture. Imagine English without naïvetéand caprice. You might say it would lose its raison d’être…My first book was the history of a single French phrase, the je-ne-sais-quoi, which names a ‘certain something’ in people or things that we struggle to explain.Working on that phrase alerted me to the role that French words, and foreign words more generally, play in English. The books on this list helped me to explore this topic—and more besides—as I was writing Émigrés.
This is cultural history with a difference and of a difference. It teaches you a lot about the reputation for fashionable culture that France enjoyed for centuries all over the world and continues to enjoy to this day. How much of all that is already packed into the book’s subtitle! The rest of the book is just as accessible and lively and unwilling ever to take itself too seriously.
What makes fashionistas willing to pay a small fortune for a particular designer accessory? Why does a special occasion only become really special when a champagne cork pops? Why are diamonds the status symbol gemstone, instantly signifying wealth, power, and even emotional commitment? Writing with great elan, one of the foremost authorities on seventeenth-century French culture provides the answer to these and other fascinating questions in her account of how, at one glittering moment in history, the French under Louis XIV set the standards of sophistication, style, and glamour that still rule our lives today. Joan DeJean takes us back…
I’m a historian who’s spent far too much time thinking about how the color magenta contributed to climate change and why eighteenth-century humanitarians were obsessed with tobacco enemas. My favorite historical topics—like sensation, color, and truth—don’t initially seem historical, but that’s exactly why they need to be explored. I’ve learned that the things that seem like second nature are where our deepest cultural assumptions and unconscious biases hide. In addition to writing nonfiction, I’ve been lucky enough to grow up on a ranch, live in Paris, work as an interior design writer, teach high school and college, and help stray dogs get adopted.
The French historian Michel Pastoureau is the master of finding topics you never knew could have a history. His research spans from the history of blue to the history of the bear, and everything he writes makes you see the world with new eyes. One of my favorites is this slim volume about the history of stripes. Pastoureau explains why stripes were associated with the devil in the Middle Ages, why sailors and swimmers took to stripes, and why cultural preferences have shifted from horizontal stripes to vertical stripes and back again. He convincingly shows that the history of the stripe is really a history of the impulse to contain social groups and people.
To stripe a surface serves to distinguish it, to point it out, to oppose it or associate it with another surface, and thus to classify it, to keep an eye on it, to verify it, even to censor it. Throughout the ages, the stripe has made its mark in mysterious ways. From prisoners' uniforms to tailored suits, a street sign to a set of sheets, Pablo Picasso to Saint Joseph, stripes have always made a bold statement. But the boundary that separates the good stripe from the bad is often blurred. Why, for instance, were stripes associated with the devil…
I’m a professor at Northland College (WI) and an American environmental historian with specialties in wine, food, and horticulture. I mostly write on alcohol, garden history, botany, and orchids. The history of alcohol is wild, fraught, and charged with power—I’ll never tire of learning about it.
A sensual cultural history mixed with economic history, specifically the rise of capitalism, Schivelbusch launches an interesting argument—that one particular substance, or taste, has often defined the zeitgeist of whole nations for definitive periods. This book is wide-ranging and general in its treatment of alcohol, as well as several other drinks and spices. There are excellent imaginative connections made, and the book invites thinkers to think deeply and broadly about the meaning of intoxicants in history and in their own lives.
From the extravagant use of pepper in the Middle Ages to the Protestant bourgeoisie's love of coffee to the reason why fashionable Europeans stopped sniffing tobacco and starting smoking it, Schivelbusch looks at how the appetite for pleasure transformed the social structure of the Old World. Illustrations.
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…
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…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I found a copy of this book in the sixties. That copy, much loved, was lost in moves and mayhem. Now, I only have a Dover reprint (water-logged during yet another move), but I have never been without and would search high and low if I were.
This is also a history of probability but with a very different focus. Ms. David was a statistician able to explain the calculations intuitively (good to assign to my students). But she was also thoroughly interested in the personalities involved. What was Galileo like? What happened to Pascal at Port-Royal?
I felt personally drawn into the historical narrative that often reads like a novel.
The development of gambling techniques led to the beginning of modern statistics, and this absorbing history illustrates the science's rise with vignettes from the lives of Galileo, Fermat, Pascal, and others. Fascinating allusions to the classics, archaeology, biography, poetry, and fiction endow this volume with universal appeal. 1962 edition.
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…
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…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I am laughing out loud, even now that I am rereading this book for the umpteenth time. Fraudsters are so clever, and so is advertising. And then there is sloppy journalism with its “wow” statistics.
I like his book enormously, not least because of its witty illustrations. It is subversive, comic, and provocative, and it makes me wise to seductive, misleading practices–and it does so with a light touch.
From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
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