Each year about 28 million Americans begin a search for a new job. Millions more live in the age of the permanent job search, their online profiles eternally awaiting a better offer. Job seekers are more mobile and better informed than ever, aspiring to work for employers offering an appealing culture, a robust menu of perks, and opportunities for personal fulfillment and advancement. The result is that millions of applications stream to the handful of companies that regularly top listings of the best companies to work for.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

In 1956 two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born gun-toting physicist. Together they applied the science of information theory - the basis of computers and the Internet - to the problem of making as much money as possible as fast as possible.

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?

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.

From the visionary head of Google's innovative People Operations comes a groundbreaking inquiry into the philosophy of work - and a blueprint for attracting the most spectacular talent to your business and ensuring that they succeed. "We spend more time working than doing anything else in life. It's not right that the experience of work should be so demotivating and dehumanizing". So says Laszlo Bock, former head of People Operations at the company that transformed how the world interacts with knowledge.

Although software has become easier to build, launching and scaling new products and services remains difficult. Start-ups face daunting challenges entering the technology ecosystem, including stiff competition, copycats, and ineffective marketing channels. Teams launching new products must consider the advantages of “the network effect”, where a product or service’s value increases as more users engage with it. Apple, Google, Microsoft, and other tech giants utilize network effects, and most tech products incorporate them.

While we cannot predict every question that Amazon will ask in an interview, the process is fairly structured. This makes the interview process transparent and easy to prepare for because we know many of the themes they will cover and questions they will ask. Imagine if your teacher in university told you most of the questions that were going to be on the test beforehand - all you would have to do is practice. Consider this book your study guide.

For any task you might want to do, there's a right way, a wrong way, and a way so monumentally complex, excessive, and inadvisable that no one would ever try it. How To is a guide to the third kind of approach. It's full of highly impractical advice for everything from landing a plane to digging a hole.

The Plateau Effect is a powerful law of nature that affects everyone. Learn to identify plateaus and break through any stagnancy in your life - from diet and exercise, to work, to relationships. The Plateau Effect shows how athletes, scientists, therapists, companies, and musicians around the world are learning to break through their plateau - to turn off the forces that cause people to “get used to” things - and turn on human potential and happiness in ways that seemed impossible.

In this thought-provoking exploration, Matthew May defines elegance as the elusive combination of unusual simplicity and surprising power, and pinpoints the four key elements that characterize it: seduction, subtraction, symmetry, and sustainability. In a story-driven narrative that sheds light on the need for elegance in design, engineering, physics, art, urban planning, sports, and work, May offers a surprising array of stories that illustrate why what's "not there" often matters more than what is.

IDEO, the widely admired, award-winning design and development firm that brought the world the Apple mouse, Polaroid's I-Zone instant camera, the Palm V, and hundreds of other cutting-edge products and services, reveals its secrets for fostering a culture and process of continuous innovation.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

In a world where speed and flexibility are valued more than ever, leaders from the corporate boardroom to the military are looking for answers from seemingly unlikely experts - the ones in the grass, in the air, in the lakes, and in the woods. In this innovative audiobook, veteran National Geographic editor Peter Miller shows how swarm species, such as ants, bees, and fish, can teach us to tackle some of the most complex conundrums in business, politics, and technology.

As a former aerospace scientist, Fortune 500 executive, chief innovation officer of two major companies, inventor and software entrepreneur, David Murray has made a living by coming up with new and innovative ideas. In Borrowing Brilliance he explains the origins and evolution of a business idea by showing you how new ideas are merely the combination of existing ideas.

Claude Shannon was a tinkerer, a playful wunderkind, a groundbreaking polymath, and a digital pioneer whose insights made the Information Age possible. He constructed fire-breathing trumpets and customized unicycles, outfoxed Vegas casinos, and built juggling robots, but he also wrote the seminal text of the Digital Revolution. That work allowed scientists to measure and manipulate information as objectively as any physical object. His work gave mathematicians and engineers the tools to bring that world to pass.

In this authoritative and fascinating new audiobook, Keith Sawyer, a psychologist at Washington University, tears down some of the most popular myths about creativity and erects new principles in their place. He reveals that creativity is always collaborative: even when you're alone. Sawyer's audiobook is filled with compelling stories about the inventions that changed our world.

Checkers, backgammon, chess, and Go. Poker, Scrabble, and bridge. These seven games, ancient and modern, fascinate millions of people worldwide. In Seven Games, Oliver Roeder charts their origins and historical importance, the arcana of their rules, and the ways their design makes them pleasurable.

In his groundbreaking book Predictably Irrational, social scientist Dan Ariely revealed the multiple biases that lead us into making unwise decisions. Now, in The Upside of Irrationality, he exposes the surprising negative and positive effects irrationality can have on our lives. Focusing on our behaviors at work and in relationships, he offers new insights and eye-opening truths about what really motivates us on the job.

An inventor, adventurer, entrepreneur, collector, and entertainer, and son of legendary scientist-astronaut Owen Garriott, Richard Garriott de Cayeux has been behind some of the most exciting undertakings of our time. A legendary pioneer of the online gaming industry - and a member of every gaming Hall of Fame - Garriott invented the multi-player online game, and coined the term "Avatar" to describe an individual's online character. In this fascinating memoir, Garriott invites listeners on the great adventure that is his life.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

At a time when Steve Jobs was only a teenager and Mark Zuckerberg wasn't even born, a group of visionary engineers and designers - some of them only high school students - in the late 1960s and 1970s created a computer system called PLATO, which was not only years but light-years ahead in experimenting with how people would learn, engage, communicate, and play through connected computers.

From the simple to the intricate and the audacious to the absurd, Adam Kucharski reveals the long and tangled history between betting and science and explains why gambling continues to generate insights into luck and decision making today. Covering exploits and ideas from across the globe, he meets the teams behind hedge funds that capitalize on inaccurate sports betting odds and explains how PhD-level pundits are using methods originally developed for the US nuclear program to predict sports results.

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills - and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected.