Learning Technology

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. 

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.

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.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

When Temple Grandin was born, her parents knew that she was different. It wasn’t until years later that she was diagnosed with autism, a brain disorder that makes communication difficult. Today, Dr. Temple Grandin is a scientist and professor of animal science at Colorado State University. Her career has revolutionized the livestock industry - each year, half the cattle in the United States are handled in cruelty-free facilities she designed. She is also a passionate advocate for autism, using her experience to prove that people with this disorder can have “normal” lives.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.  

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart. 

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted. 

Taking listeners behind Apple's major research studies, Apple Classrooms of Tomorrow (ACOT) and ACOT2, this audiobook highlights the powerful effects of the Challenge-Based Learning (CBL) framework and also introduces some of the extraordinary parents, educators, and entrepreneurs from around the world who are already utilizing new science-backed methods and technologies to benefit all children, from those who struggle to honor students, to help them unlock their potential and empower them to reach beyond their perceived limitations.

Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for more than 10 years. He shares that expertise in the new audiobook Enterprise Artificial Intelligence Transformation. The first of its kind, this audiobook grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. 

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

Everywhere we turn, a new device promises to transfigure our lives. But at what cost? In this urgent and revelatory excavation of our Information Age, leading technology thinker Adam Greenfield forces us to reconsider our relationship with the networked objects, services, and spaces that define us. It is time to re-evaluate the Silicon Valley consensus determining the future. We're told that innovations - from augmented - reality interfaces and virtual assistants to autonomous delivery drones and self-driving cars - will make life easier, more convenient, and more productive.

In Failure to Disrupt, Justin Reich delivers a sobering report card on the latest supposedly transformative educational technologies. Reich takes listeners on a tour of MOOCs, autograders, computerized "intelligent tutors", and other educational technologies whose problems and paradoxes have bedeviled educators. Learning technologies often provide the greatest benefit to affluent students and do little to combat growing inequality in education. And institutions and investors often favor programs that scale up quickly, but at the expense of true innovation.

(ISC)2 Certified Information Systems Security Professional (CISSP) Official Study Guide, 9th Edition has been completely updated based on the latest 2021 CISSP Exam Outline. This bestselling Sybex study guide covers 100% of the exam objectives. You'll prepare for the exam smarter and faster with Sybex thanks to expert content, knowledge from our real-world experience, advice on mastering this adaptive exam, access to the Sybex online interactive learning environment, and much more. Reinforce what you've learned with key topic exam essentials and chapter review questions.

This book walks you through the "need-to-know" aspects of artificial intelligence, including natural language processing, speech recognition, and the power of machine learning to show you how to make the most of this technology in a practical, tactical way. Case studies show how real-world companies are taking the next leap forward. Artificial intelligence and machine learning provide a data-driven basis for more robust and intensely-targeted marketing strategies - and companies that effectively utilize these latest tools will reap the benefit in the marketplace.

Through the voices of ordinary people in places far removed from Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often exploitative technologies on individuals, communities, and our wider society. Madhumita Murgia, AI Editor at the FT, exposes how AI can strip away our collective and individual sense of agency – and shatter our illusion of free will.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Throughout the 1960s and 1970s, a diverse group of teachers and students working together on academic computing systems conducted many of the activities we now recognize as personal and social computing. Joy Rankin draws on detailed records to explore how users exchanged messages, programmed music and poems, fostered communities, and developed computer games like The Oregon Trail. These unsung pioneers helped shape our digital world, just as much as the inventors, garage hobbyists, and eccentric billionaires of Palo Alto.