人気の コンピュータ・テクノロジーオーディオブック

Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code...

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use...

This audiobook narrated by Martin Rees and Samuel West offers a provocative and inspiring look at the future of humanity and science Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good...

The inspiring autobiography of video game designer and DOOM cocreator John Romero Doom Guy: Life in First Person is the long-awaited autobiography of gaming’s original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game...

The bestselling cyberpunk author “has produced by far the most stylish report from the computer outlaw culture since Steven Levy’s Hackers” (Publishers Weekly). Bruce Sterling delves into the world of high-tech crime and punishment in one of the first books to explore the cyberspace...

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your...

In an era of seemingly instant change, it's easy to think that today's revolutions - in communications, business, and many areas of daily life - are unprecedented. Today's changes may be new and may be happening faster than ever before....

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly...

Data is everywhere. The real advantage comes from knowing how to turn it into useful information. Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking...

Davidsons Audiobooks presents: CCNA Cisco Certified Network Associate †The Complete Audio Study GuideMaster networking fundamentals, routing, switching, security, and automation – Perfect for Commuting, Exercising, and Doing Chores!

What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and...

A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind All our lives are constrained by limited space and time, limits that give rise to a particular set of problems...

To stay competitive in today's market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the "build trap", cranking out features to meet their schedule rather than the customer's...

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San...

Understand how artificial intelligence actually works, from first principles to generative models AI Explained: A Guide for Non-Technical Readers builds understanding of artificial intelligence from first principles rather than diving in at the top. Written by experienced policy and technical...

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores...

As algorithms become increasingly adept at accessing the human mind, they also become more and more powerful at controlling it, enticing us to buy a certain product or vote for a certain political candidate. Some of us say this technological trend is no big deal. Others consider it one of the...

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with...

Data analysis is a skill that becomes essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains what you need to know to start using it for data analysis.

Microsoft project veteran Scott Berkun offers a collection of essays on field-tested philosophies and strategies for defining, leading, and managing projects. Each essay distills complex concepts and challenges into practical nuggets of useful advice, and the new edition now adds more value for...