Showing results for "Learning Science and the Science of Learning" in All Categories

A teenage mage of humble birth and slightly above-average skill, Zorian is attending his third year of education at Cyoria's magical academy. A driven and quiet young man, he is consumed by a desire to ensure his own future and free himself of the influence of his family, resenting the Kazinskis for favoring his brothers over him. Consequently, Zorian has no time for pointless distractions, much less other people's problems.

How to learn effectively when you have to be both the teacher and student. Work smarter and save yourself countless hours. Self-learning is not just about performing better in the classroom or the office. It’s about being able to aim your life in whatever direction you choose and conquering the obstacles in front of you.

As the months in the time loop seem to add up without end, Zorian forms alliances with acquaintances old and new in an effort to solve the mystery of the loop and save his city—maybe even the world—from destruction. But while his mage skills develop and he pursues more advanced and unusual forms of magic, Zorian must battle necromancers, fanatical cultists, and vicious creatures—all while avoiding the attention of the lich who could kill him...permanently.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

The time loop is coming to an end. With limited restarts remaining, Zorian and his allies must redouble their efforts to discover how they can prevent the release of an ancient primordial being once the time loop expires and they are returned to the real world—where choices can’t be undone.

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 shows you how to do so in the most effective and efficient manner.

A devastating attack by the lich Quatach-Ichl has left Zorian and Zach reeling as their remaining restarts tick away. As they recover, they make preparations for their final confrontations with Red Robe, the lich, the primordial being, and the invaders—all within the shadow of a question they can’t answer: can Zorian and Zach both survive outside the time loop? When the time loop is broken, sacrifices will be made, bonds will be tested, and trust will be more important than any magical skill or power—and even then, success is not guaranteed.

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.

When a bunch of interstellar scavengers approach Earth intending to abduct a few dozen humans and sell them into slavery in the darkest, they make the mistake of picking on Steve Stuart and his friends, ex-military veterans all. Unprepared for humans who can actually fight, unaware of the true capabilities of their stolen starships, the scavengers rapidly lose control of the ship - and their lives.

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.

Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. Drawing on a 15-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K-12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition.

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.

We’ve never been taught how to learn. This book is the key to reversing all the misconceptions you have, and make learning fun again. Smart Learning is not a textbook - it’s a guidebook for your journey in learning. It will show you the most effective methods, the pitfalls we must avoid, and the habits we must cultivate.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

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.

Drs. Barbara Oakley and Terrence Sejnowski's popular Online course Learning How to Learn, has enrolled more than 1.8 million students. In this much needed follow-up to A Mind for Numbers, the authors teach kids and teens how to learn effectively at a time when they most need these skills. Learning How to Learn teaches them about the importance of both focused concentration and letting their minds wander, how the brain makes connections between different pieces of information, why procrastination is the enemy of problem solving, and much more.

In this highly intoxicating original series, researchers Brian Christian and Tom Griffiths, authors of the best-selling smash hit, Algorithms to Live By, tackle some of the biggest ideas in computer science today - and, in the process, illuminate cutting-edge ways of understanding how we live, work and play.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

How do master storytellers compel us? There have been many attempts to understand what makes a good story, but few have used a scientific approach. In The Science of Storytelling, Will Storr applies dazzling psychological research and cutting-edge neuroscience to our myths and archetypes to show how we can tell better stories, revealing, among other things, how storytellers - and also our brains - create worlds by being attuned to moments of unexpected change.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.