Computer Science Technology

Before cell phones that fit in the palm of your hand and slim laptops that fit snugly into briefcases, computers were like strange, alien vending machines. They had cryptic switches, punch cards, and pages of encoded output. But in 1975, a young engineering wizard named Steve Wozniak had an idea: What if you combined computer circuitry with a regular typewriter keyboard and a video screen?

Are you gearing up for the AWS Certified Solutions Architect Exam? Dive into The Ultimate Exam Prep, your one-stop treasure trove designed to catapult you to success. Tailored to reflect the most recent exam patterns, this comprehensive guide not only covers every essential topic, but also empowers you with foolproof strategies to tackle the trickiest questions.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

On a moonless night in January 1991, a dozen US aircraft appeared in the skies over Baghdad. To the Iraqi air defenses, the planes seemed to come from nowhere. Each aircraft was more than 60 feet in length and with a wingspan of 40 feet, yet its radar footprint was the size of a ball bearing. Here was the first extensive combat application of Stealth technology. And it was devastating.

Are you fascinated by apps like Microsoft’s ChatGPT and Google’s Gemini but unsure how you can utilize them to their full potential? Have you wondered how ChatGPT could help your writing, editing, and even gaming? Understanding and integrating Generative AI into your daily life may seem daunting, but it's not as difficult as you might think. In fact, with the right guide, anyone can harness the power of AI.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

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.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government spying and insisted on communicating only through heavily encrypted channels. That source turned out to be the 29-year-old NSA contractor Edward Snowden, and his revelations about the agency’s widespread, systemic overreach proved to be some of the most explosive and consequential news in recent history, triggering a fierce debate over national security....

Energy is humanity's single most important resource. In fact, as energy expert Michael E. Webber argues in Power Trip, the story of how societies rise can be told largely as the story of how they manage energy sources through time. In 2019, as we face down growing demand for and accumulating environmental impacts from energy, we are at a crossroads and the stakes are high. But history shows us that energy's great value is that it allows societies to reinvent themselves.

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment.

In TechGnosis - a cult classic now updated and reissued with a new afterword - Erik Davis argues that while the realms of the digital and the spiritual may seem worlds apart, esoteric and religious impulses have in fact always permeated (and sometimes inspired) technological communication. Davis uncovers startling connections between such seemingly disparate topics as electricity and alchemy; online roleplaying games and religious and occult practices; virtual reality and gnostic mythology; programming languages and Kabbalah.

After learning that Herobrine stole the mysterious objects - the pyramid and the cuboid - Zeke discovered that Herobrine plans to use them to destroy the world.

Gone are the days of manual searches and gut-feeling decisions. This book introduces you to the dynamic world of AI in real estate, where algorithms, predictive analytics, and machine learning lead the way in identifying hidden gems in the market.

The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories.

In a world driven by technological advancements, the potential of Artificial Intelligence (AI) is limitless. However, understanding the complexities of AI and harnessing its transformative power can be a daunting task. This audiobook is the solution you've been searching for. This comprehensive guide dives deep into the world of AI, providing you with the knowledge, tools, and techniques to master the art of AI and Generative AI.

Sara Hendren invites us to rethink the things and settings we live with. What might assistance based on the body’s stunning capacity for adaptation—rather than a rigid insistence on “normalcy”—look like? Can we foster interdependent, not just independent, living? How do we creatively engineer public spaces that allow us all to navigate our common terrain? By rendering familiar objects and environments newly strange and wondrous, What Can a Body Do? helps us imagine a future that will better meet the extraordinary range of our collective needs and desires.

Make Noise brings all the wisdom, advice, practical information, and big-picture thinking that any individual or business needs to make a successful podcast. He identifies core principles - such as create empathetically, i.e., think like the audience listens, and stay focused on what’s unique to you and what you have to say. He helps listeners come up with a “Ten Word Description” that will guide them throughout the creative process and then gets into how-tos - how to develop character, story, voice, and more.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.