Computer Science Technology

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.

Welcome to Essentials of AI for Beginners, your go-to guide for exploring AI technologies like Machine Learning, Deep Learning, Generative AI, and ChatGPT.

This book now comes with a FREE VIDEO COURSE: ChatGPT for Beginners! Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you! Amazon bestselling author & AI Consultant David M. Patel is going to show you everything you need to know become an expert user of artificial intelligence & generative AI.

The most urgent story in modern tech begins not in Silicon Valley but two hundred years ago in rural England, when workers known as the Luddites rose up rather than starve at the hands of factory owners who were using automated machines to erase their livelihoods. The Luddites organized guerrilla raids to smash those machines—on punishment of death—and won the support of Lord Byron, enraged the Prince Regent, and inspired the birth of science fiction. This all-but-forgotten class struggle brought nineteenth-century England to its knees.

Understand Generative AI and how it can revolutionize your life in just 14 days – even if you’ve never touched an AI tool beforeAre you fascinated by the potential of AI but feel overwhelmed by its complexity? Do you often wonder how Generative AI could personally or professionally impact you, yet hesitate to dive deeper, fearing it's too technical or inaccessible? Are you concerned about the ethical implications of AI and want to be sure you're using these technologies responsibly? If you answered “yes” to any of these questions, you’re not alone.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.

Audie Award, History/Biography, 2016. On the night of July 20, 1969, our world changed forever when Neil Armstrong and Buzz Aldrin walked on the moon. Based on in-depth interviews with 23 of the 24 moon voyagers, as well as those who struggled to get the program moving, A Man on the Moon conveys every aspect of the Apollo missions with breathtaking immediacy and stunning detail.

In IRREPLACEABLE, you will discover techniques to boost your career using AI—without losing your job to automation; secrets to unlocking your uniquely human abilities—ones AI can never replicate; counterintuitive methods to raise Future-ready children; strategies to avoid falling into the "AI Obesity" trap; and blueprints for leveraging AI to turn your company into an unstoppable force of innovation.

We live in complicated, dangerous times. They are also hyper-technical times. As citizens who will elect future presidents of the most powerful and influential world, we need to know - truly understand, not just rely on television's talking heads - if Iran's nascent nuclear capability is a genuine threat to the West, if biochemical weapons are likely to be developed by terrorists, if there are viable alternatives to fossil fuels that should be nurtured and supported by the government, if nuclear power should be encouraged, and if global warming is actually happening.

Technological advances have benefited our world in immeasurable ways, but there is an ominous flip side: our technology can be turned against us. Hackers can activate baby monitors to spy on families, thieves are analyzing social media posts to plot home invasions, and stalkers are exploiting the GPS on smart phones to track their victims’ every move. We all know today’s criminals can steal identities, drain online bank accounts, and wipe out computer servers, but that’s just the beginning.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

You’ve seen it all before. A malicious online rumor costs a company millions. A political sideshow derails the national news cycle and destroys a candidate. Some product or celebrity zooms from total obscurity to viral sensation. What you don’t know is that someone is responsible for all this. Usually, someone like me. I’m a media manipulator. In a world where blogs control and distort the news, my job is to control blogs - as much as any one person can.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

In The Last Invention: When AI Becomes More Than a Tool, Ethan Vale takes you on an eye-opening journey into the heart of artificial intelligence—its rapid evolution, its potential to reshape humanity, and the profound questions it raises about the future.

Becoming an effective IT manager presents a host of challenges - from anticipating emerging technology to managing relationships with vendors, employees, and other managers. A good IT manager must also be a strong business leader. This book invites you to accompany new CIO Jim Barton to better understand the role of IT in your organization. You'll see Jim struggle through a challenging first year, handling (and fumbling) situations that, although fictional, are based on true events.

In a world where artificial intelligence is transforming industries at an unprecedented pace, The AI Odyssey: Mapping the World of Impact Tomorrow offers a comprehensive guide to understanding the far-reaching implications of AI in shaping our future. This audiobook navigates through the technological advancements, ethical dilemmas, and socio-economic changes that AI will bring to our daily lives and global systems.

The New York Times best-selling author traces the development of technology from the Industrial Age to the Digital Age to explore the single component crucial to advancement - precision - in a superb history that is both an homage and a warning for our future.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.