Learning Technology

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

The best five books on anonymity in existence! Want to surf the web anonymously? Cloak yourself in shadow on the Deep Web or The Hidden Wiki? I will show you how to become a ghost in the machine - leaving no tracks back to your ISP - whether on the Deep Web or regular Internet. This audiobook covers it all: encrypting your files, securing your PC, masking your Online footsteps with Tor, VPNs, Freenet, and bitcoins, and all while giving you peace of mind with total 100 percent anonymity.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data.

Listen and relive exciting tales from Highlights, now on audio! Learn about five successful Americans and the teacher who encouraged them and how to use a balloon to predict the weather, along with other stories about learning. Stories include: "Being Inspired by Teachers" by Marty Kaminsky, "Find the Crescent Moon" by Ken Croswell, PhD, "Get to Know a Million" by Stephen Whitt, "Hot Lava Under My Feet" by Chris Dietel, "How Do You Measure Up?" by Janet Slingerland Hammond, and more.

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 projects from conception to deployment.

Developed by experienced professors and professionally narrated for easy listening, this course is a valuable tool when preparing for your ITIL 4 foundation exam. The audio is focused and high-yield, covering the most important topics you need to know to succeed on The Information Technology Infrastructure Library (ITIL) Level 4 foundation exam. The material is accurate, up-to-date, and broken down into bite-sized chapters. There are key takeaways following each chapter to drive home key points and quizzes to review commonly tested questions.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

Are you looking for ways to streamline your work and reduce burnout, while bringing a new level of engagement to your students? Mastering AI for Educators Made Easy teaches you how to use AI in the classroom and capitalize on the power of ChatGPT to redefine your teaching experience. This book package includes both Teaching With AI and ChatGPT for Teachers Made Easy.

One of the greatest physicists of the twentieth century, Richard Feynman possessed an unquenchable thirst for adventure and an unparalleled ability to tell the stories of his life. "What Do You Care What Other People Think?" is Feynman's last literary legacy, prepared with his friend and fellow drummer, Ralph Leighton.

Beyond Powerful Radio is a complete guide to becoming a powerful communicator for radio, Internet, TV, public speaking - anyone who wants to learn to communicate powerfully. It's a cookbook for communicators and broadcasters to improve. It's practical; it's easy. You'll find techniques to create content, produce and host a show, grow an audience, news gathering, coverage of investigative and breaking stories, and writing and delivering commercial copy.

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.

Instructional design offers powerful ways to build training and teach new skills, but its methods run DEEP. Finding a clear, easy-to-follow path can be frazzling. Where do you even start? Whether you’re a new instructional designer, looking to transition from another job, or tasked with training for your organization, this book will help get you rolling! We’ll dig into examples and spin tips, tactics, and research-backed learning principles into a professional workflow.

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.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

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.

This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods. Upon completion of this review, the student should acquire improved ability to discriminate, differentiate, and conceptualize appropriate implementations of application-specific ("traditional" or "rule-based") methods versus deep learning methods of statistical analyses and data modeling.

30 Days to a More Powerful Vocabulary quickly became a bestseller in its category back in 2015. Now, in this updated and revised edition—which now contains the 700 most important words you need to master—you'll quickly learn why this title has been such a positive impact in the personal and professional lives of tens of thousands in the English-speaking world.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.