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International Love Data Week

In Silico Dreams Book Cover

In Silico Dreams by Brian S. Hilbush

Learn how AI and data science are upending the worlds of biology and medicine In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. 

Invisible Women Book Cover

Invisible Women by Caroline Criado Perez

Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. 

Weapons of Math Destruction Book Cover

Weapons of Math Destruction by Cathy O'Neil


We live in the age of the algorithm. Increasingly, the decisions that affect our lives -- where we go to school, whether we get a car loan, how much we pay for health insurance -- are being made not by humans, but by mathematical models.

Too Big to Ignore Book Cover

Too Big to Ignore by Phil Simon

In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. 

Big Data Book Cover

Big Data by Viktor Mayer-Schönberger; Kenneth Niel Cukier


Explores the idea of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly, and draw profound and surprising conclusions from it.

Developing Analytic Talent Book Cover

Developing Analytic Talent by Vincent Granville

Learn the skills needed for the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value.

The Information Book Cover

The Information by James Gleick

From the invention of scripts and alphabets to the long misunderstood "talking drums" of Africa, James Gleick tells the story of information technologies that changed the very nature of human consciousness. He also provides portraits of the key figures contributing to the inexorable development of our modern understanding of information, including Charles Babbage, Ada Byron, Samuel Morse, Alan Turing, and Claude Shannon.

Profit Driven Business Analytics Book Cover

Profit Driven Business Analytics by Wouter Verbeke; Bart Baesens; Cristian Bravo

Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy.

It's All Analytics! Book Cover

It's All Analytics! by Scott Burk; Gary D. Miner

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology?

Damned Lies and Statistics Book Cover

Damned Lies and Statistics by Joel Best

Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.

The Model Thinker Book Cover

The Model Thinker by Scott E. Page

We confront no end of complex problems: why is inequality on the rise? Why are more and more Americans clinically obese? Does a racially diverse team make better decisions? How can we predict the outcomes of elections? At the same time, we find ourselves awash in data, be it on the opioid crisis, college admissions, genetic correlates of disease, financial transactions, or athletic performance. To confront such complexity and put that data to use, we need models.

Algorithms to Live By Book Cover

Algorithms to Live By by Brian Christian; Tom Griffiths

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind. 

Outnumbered Book Cover

Outnumbered by David Sumpter

Algorithms are running our society, and we don't really know what they are up to. Our increasing reliance on technology and the internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy and what interests us, they can begin to predict our daily habits. But how reliable is this data?

We Are Data Book Cover

We Are Data by John Cheney-Lippold

What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline.

Superforecasting Book Cover

Superforecasting by Philip E. Tetlock; Dan Gardner

From one of the world's most highly regarded social scientists, a transformative book on the habits of mind that lead to the best predictions. Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts' predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?

Data Smart Book Cover

Data Smart by Jordan Goldmeier

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science?