Computer Science Problems

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.

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!

Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to his own species, and lays out how we can change course before it's too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research.

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.

In the coming decades, the technology that enables virtual and augmented reality will improve beyond recognition. Within a century, world-renowned philosopher David J. Chalmers predicts, we will have virtual worlds that are impossible to distinguish from non-virtual worlds. But is virtual reality just escapism? In a highly original work of 'technophilosophy', Chalmers argues categorically, no: virtual reality is genuine reality. Virtual worlds are not second-class worlds. We can live a meaningful life in virtual reality - and increasingly, we will.

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.

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.

In this bold, optimistic book, the authors of the best-selling Big Data show how humans have a unique cognitive ability to frame - to create mental models that allow us to spot patterns, make predictions and grasp new situations. While computers may now excel at reasoning and judgement, framing is unique to humans. This book is the first guide to mastering an essential skill for the 21st century.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

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.

Artificial Intelligence is no longer science fiction — it’s real, it’s everywhere, and it’s already shaping your life whether you realize it or not. From Netflix recommendations to the news you see, from job applications to virtual assistants like Siri and Alexa — AI is behind the scenes, making decisions for you. The question is: Do you understand what it’s doing… or are you just going along for the ride?

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.

Komlos and Benjamin's approach harnesses disparate views from inside and outside of an organisation, including front-line employees, former competitors, theorists and disruptors around a big, messy problem to form a high-functioning team of people, a 'mega-brain', that can see every side of a problem and identify the best solution(s) for it. Complex issues are solved in a matter of days, not months, not years, a time frame supported by the authors' research and practice over three decades.

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.

John Maeda is one of the world's preeminent thinkers on technology and design, and in How to Speak Machine, he offers a set of simple laws that govern not only the computers of today but the unimaginable machines of the future. Machines are already more powerful than we can comprehend and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed and endlessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous.

From the acclaimed author of The Pencil and To Engineer Is Human, The Essential Engineer is an eye-opening exploration of the ways in which science and engineering must work together to address our world's most pressing issues, from dealing with climate change and the prevention of natural disasters to the development of efficient automobiles and the search for renewable energy sources.

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.

Data Leadership for Everyone is a game-changing book for anyone who believes in the power of data and is ready to create revolutionary change in their organization. Whether you're a C-suite executive, a manager, or an individual contributor, this book will propel your career by unlocking the mystery of how raw data transforms into real outcomes.

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.

A businessman struggles with his luggage at an airport and pioneers the wheeled suitcase. An engineer watches people using walkie-talkies and dreams up the mobile phone. A printer is frustrated by his unpredictable inks and creates the Pantone colour system. Why were these particular people able to identify problems, and how did they discover the solutions that everyone else missed? Where exactly did their great ideas come from, and how did they go about making them into reality?