Computer Problems

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.

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 1714, England's Parliament offered a huge reward to anyone whose method of measuring longitude could be proven successful. The scientific establishment--from Galileo to Sir Isaac Newton--had mapped the heavens in its certainty of a celestial answer. In stark contrast, one man, John Harrison, dared to imagine a mechanical solution--a clock that would keep precise time at sea, something no clock had been able to do on land. And the race was on....

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

Get straight to the point with a toolkit that turns tough problems into clear solutions.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems.

Explore the world of artificial intelligence without feeling overwhelmed by technical jargon. Whether you're advancing your career, shifting into a new field, or satisfying your curiosity, this audiobook offers practical and ethical AI applications for beginners, career shifters, creative minds, and tech enthusiasts.

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.

Paul Kennedy, award-winning author of The Rise and Fall of the Great Powers and one of today’s most renowned historians, now provides a new and unique look at how World War II was won. Engineers of Victory is a fascinating nuts-and-bolts account of the strategic factors that led to Allied victory. Kennedy reveals how the leaders’ grand strategy was carried out by the ordinary soldiers, scientists, engineers, and businessmen responsible for realizing their commanders’ visions of success.

Imagine a world where your brain can be interrogated to learn your political beliefs, your thoughts can be used as evidence of a crime, and your own feelings can be held against you. A world where people who suffer from epilepsy receive alerts moments before a seizure, and the average person can peer into their own mind to eliminate painful memories or cure addictions.

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.

In 2015 Manoush Zomorodi, host of WNYC's popular podcast and radio show Note to Self, led tens of thousands of listeners through an experiment to help them unplug from their devices, get bored, jump-start their creativity, and change their lives. Bored and Brilliant builds on that experiment to show us how to rethink our gadget use to live better and smarter in this new digital ecosystem. In this fascinating new audiobook, Manoush explains the connection between boredom and original thinking.

Master the Art of Smart Choices with Decision Making: An AI’s Guide to 100 Strategies for Choosing Wisely When Human Instinct Fails. This audiobook breaks down complex thinking tools into simple, actionable strategies, helping you make better decisions in every part of life.

Navigating the complexities of the stock market can be daunting. This book demystifies the process, offering clear, concise, and practical insights into using AI technologies to identify trends, predict market movements, and manage investment risks effectively. Whether you're planning for retirement, looking to grow your personal wealth, or simply curious about stock market investing, this guide is your first step towards financial empowerment.

Three complete stories in one collection! Includes The Great Bicycle Race Mystery, The Mystery of the Wild Ponies, and The Mystery in the Computer Game.

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.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Thinking of using rapid prototyping for your next design project but don’t know where to start? Or have you tried rapid prototyping and been disappointed with the results? “Eight Common Mistakes in Rapid Prototyping” can dispel your misconceptions by explaining what to expect when using this additive manufacturing technique. While “one and done” is what fabricators hope for when using rapid prototyping to develop new gadgets or parts, the first result produced using this method often does not provide the desired solution. What is most likely to go wrong when using rapid ...