Learning Technology

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

Unlock Your Potential as an Online Tutor: A Comprehensive Guide to Building and Scaling Your Tutoring Business In today’s digital age, online tutoring has become an essential resource for students seeking personalized support and guidance. This book serves as your ultimate roadmap to success in the world of online education. Whether you're an experienced educator or just starting your tutoring journey, this guide provides you with the knowledge and tools you need to thrive. Inside, you will discover: Proven Strategies: Learn how to identify your niche, attract clients, and build a strong ...

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

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.

Are you overwhelmed by AI jargon and complex concepts? Do you wish for a simple guide to show you how AI can transform your life and career? You’re not alone! Many people feel the same way, but with AI for Beginners, you’ll gain clarity and confidence in this ever-evolving field.

People are now exposed to more information than ever before, provided both by technology and by increasing access to every level of education. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything and all voices demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.

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.

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.

Designed by industry experts, this essential learning tool breaks down complex securities concepts into easy-to-understand segments. Whether you're commuting, exercising, or multitasking, absorb crucial exam knowledge on your schedule.

Craig Beck's "Fear Technology" is a game-changing system that offers hope and relief to those who suffer from anxiety and panic disorders. In this book, Beck shares his personal story of struggling with anxiety, panic, and worry, despite having a successful career and a loving family. He knows first-hand how it feels to constantly predict disaster and doom in any situation and how this can make life unbearable.

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.

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.

In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

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.

This book demonstrates how nonscientific ideas have been encoded deep into our technological infrastructure. Offering a rigorous, fresh perspective on how technology has brought us to this place, Rage Inside the Machine challenges the long-held assumption that technology is an apolitical and amoral force.

Explore the intersection of SQL, NoSQL, and AI to create intelligent business applications that drive innovation and success. This book takes you on a journey through advanced database concepts, AI integration, and practical use cases, empowering you to design and implement high-performing and intelligent data solutions. Curated Content from Artificial Intelligence.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.