Science Analysis

In World-Systems Analysis, Immanuel Wallerstein provides a concise and accessible introduction to the comprehensive approach that he pioneered 30 years ago to understanding the history and development of the modern world. Since Wallerstein first developed world-systems analysis, it has become a widely utilized methodology within the historical social sciences and a common point of reference in discussions of globalization.

World-renowned geneticist and Harvard Medical School professor David A. Sinclair proposes a unified theory of aging and reveals the ground-breaking interventions that will extend our healthy years and change what it means to be human in his book Lifespan: Why We Age - And Why We Don’t Have To. 

Macbeth is one of William Shakespeare's more brilliantly populated plays and remains among the most widely read. Award-winning writer and beloved professor Harold Bloom investigates Macbeth's interiority and unthinkable actions with razor-sharp insight, agility, and compassion. He also explores his own personal relationship to the character. The book also becomes an extraordinarily moving argument for literature as a path to and a measure of our humanity.

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes's formula has become a linchpin of the digital economy. But here's where things get interesting: Bayes's theorem can also be used to lay odds on the existence of extraterrestrial intelligence, and on the biggest question of all: how long will humanity survive?

What, exactly, is post-truth? Is it wishful thinking, political spin, mass delusion, bold-faced lying? McIntyre analyzes recent examples - claims about inauguration crowd size, crime statistics, and the popular vote - and finds that post-truth is an assertion of ideological supremacy by which its practitioners try to compel someone to believe something regardless of the evidence. Yet post-truth didn't begin with the 2016 election; the denial of scientific facts about smoking, evolution, vaccines, and climate change offers a road map for more widespread fact denial.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Jim Simons is the greatest moneymaker in modern financial history. His record bests those of legendary investors, including Warren Buffett, George Soros and Ray Dalio. Yet Simons and his strategies are shrouded in mystery. The financial industry has long craved a look inside Simons's secretive hedge fund, Renaissance Technologies and veteran Wall Street Journal reporter Gregory Zuckerman delivers the goods. 

Two books in one - use the power of analytics and probability to discover what your target customers are thinking and how to use that as an edge in identifying solutions and strategies to help you move forward. Includes: Analytics and Probability.

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. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

For four generations men have been subjected to some pretty damning accusations. They're the oppressors of women. Their misogyny is the sole cause of the much-hated wage gap. They are guilty of the original sins of privilege and institutional sexism. And this says nothing about the rank mockery and, often times, outright hatred men receive in the media, government, and our schools. But perhaps the most damning accusation of them all is that men are no longer needed. That they are now somehow obsolete.

While exploring Shakespeare's plays with her students, Paula Marantz Cohen discovered that teaching and discussing his plays unlocked a surprising sense of compassion in the classroom. In this short and illuminating book, she shows how Shakespeare's genius lay with his ability to arouse empathy, even when his characters exist in alien contexts and behave in reprehensible ways.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

In Monarchs and Milkweed, Anurag Agrawal presents a vivid investigation into how the monarch butterfly has evolved closely alongside the milkweed - a toxic plant named for the sticky white substance emitted when its leaves are damaged - and how this inextricable and intimate relationship has been like an arms race over the millennia, a battle of exploitation and defense between two fascinating species.

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. 

This is an audio summary and analysis of the book Attached by Dr. Amir Levine and psychologist Rachel Heller. They use the attachment theory to provide insight into how love actually works. Discover your attachment style and learn how it affects your romantic relationships - for better or for worse.

An almost limitless archive of our history lies hidden inside our bodies, and this book traces the ancient story of Scotland from that scientific viewpoint. The mushrooming of genetic studies, of DNA analysis, is rewriting history in spectacular fashion. In Scotland: A Genetic Journey, Alistair Moffat explores the history that is printed on our genes, and in a remarkable new approach, uncovers the detail of where Scots are from, where they have journeyed, and who they are - and in so doing, vividly colors in a DNA map of Scotland.

Across the globe, obesity rates have doubled over the last three decades. Listen to this audio analysis of Fat Chance by Robert H. Lustig, MD, which explores the ill effects of processed foods on the human body.

There are millions of self-help books that all promise the secret to obtaining a happy life - a successful career, lots of money, loving relationships, a defined and firm sense of morality; whatever could possibly define "happiness" for one person. But nothing is possibly more subjective than happiness. Everyone thinks of happiness as something different, but what they think may not actually be true.

Sociopaths comprise an alarming four percent of the population; that is, one in every 25 people is a sociopath. But this mental disorder is not well understood and many people fail to recognize it in others, which makes sociopaths difficult to identify and potentially very dangerous. It is urgent that people understand what a sociopath is and learn to recognize their revealing traits in order to protect themselves against these individuals who otherwise blend into the general population.