Learning Science

Learn Linux Quickly takes you from your very first terminal keystrokes to writing full programs in Bash, the most popular Linux shell (or command line). Along the way, you'll learn the timeless skills handed down by generations of experienced, mouse-shunning gurus: file navigation, environment configuration, command chaining, pattern matching, and more. In addition to that practical knowledge, we reveal the philosophy behind these tools and the rich heritage that your desktop Linux machine has inherited from Unix mainframes of yore.

Far too often, public discussion of science is carried out by journalists, voters, and politicians who have received their science secondhand. The Story of Western Science shows us the joy and importance of reading groundbreaking science writing for ourselves and guides us back to the masterpieces that have changed the way we think about our world, our cosmos, and ourselves.

To compete with today's increasing globalization and rapidly evolving technologies, individuals, and organizations must take their ability to learn - the foundation for continuous improvement, operational excellence, and innovation - to a much higher level.

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.

Emotions dictate our mood, our actions, and our thoughts, but you can learn to master your mind and use it to empower your daily actions with Stoic guidance. This guide will teach you the basics of Stoic philosophy.

As the head of Open Learning at MIT, renowned professor Sanjay Sarma has a daunting job description: to fling open the doors of the MIT experience for the benefit of the wider world. But if you're going to undertake such an ambitious project, you first have to ask: How do we learn? What are the most effective ways of educating? And how can the science of learning transform education to unlock our potential, as individuals and across society?

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.

Fifty years after Steve Stuart and his friends captured an alien starship, the Solar Union is a thriving interstellar power while Earth is increasingly backward and falling into barbarism. For two youngsters from Earth, the Solar Union offers the only chance they will ever have to make something of their lives.

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

In Eavesdropping on Animals, George Bumann shares the fascinating stories and insights he has gained from studying wildlife around the world for more than forty years, the last twenty of which have been spent leading popular programs on animal language and intelligence in Yellowstone National Park.

Harness the full potential of generative AI to improve your productivity, transform your career, and boost your creativity! Brought to you by the Amazon bestselling author of Essentials of AI for Beginners, this practical, engaging guide makes generative AI easy to understand and use—no matter your background, goals, or starting point. This book stands out for its in-depth yet accessible content, so you can learn core concepts without the jargon. It also includes real-world use cases to discover how AI is already transforming diverse industries. This title also offers a balanced perspective.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system - one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware.

We're Doomed, Now What? addresses the crisis that is our time through a series of brilliant, moving, and original essays on climate change, war, literature, and loss from one of the most provocative and iconoclastic minds of his generation.

Thirty years in New York City's public schools led John Gatto to the sad conclusion that compulsory schooling does little but teach young people to follow orders like cogs in an industrial machine. With over 100,000 copies in print since its original publication in 2002, this book is collection of essays and speeches and includes a describes the wide-spread impact of the book and Gatto's "guerrilla teaching". John Gatto was a teacher in New York City's public schools for over 30 years and was a New York State Teacher of the Year.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

Find scientific methods to accelerate your learning to save time, beat competition, and get from point A to point B at the speed of light. Learning is the key to bettering your circumstances and becoming the person you want to be. Skills, information, and abilities will never come to you - it’s up to you to seek them out, and this audiobook tells you how to do so in the most effective and efficient manner. The Science of Rapid Skill Acquisition is the definitive resource to get you where you want to be in terms of a new talent, skill, or ability. Work smarter, not harder.

Discover the powerful way to transform your relationships with friends, loved ones, and even coworkers, with proven strategies that you can put to work immediately on improving the way you communicate with anyone in any environment.

Unlock the full potential of data science with "Mastering Data Science with R: Expert Level Insights and Practices." Designed for experienced R users and data scientists, this comprehensive guide delves deep into cutting-edge algorithms and advanced methodologies, propelling you from proficient to expert level. Inside, you'll find: - Advanced Statistical Learning: Master complex regression models, generalized additive models, survival analysis, and mixed-effects models. - Machine Learning Mastery: Explore ensemble methods, neural networks, reinforcement learning, and sophisticated ...

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.