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Author: Michael Shayer
Publisher:
Published: 2002
Total Pages: 232
ISBN-13:
DOWNLOAD EBOOKAt present few children realise their true potential. This work describes how children's general ability to process information - their intelligence - can be significantly improved by appropriate cognitive acceleration methods.
Author: Rosemary Luckin
Publisher: IOS Press
Published: 2007
Total Pages: 764
ISBN-13: 1586037641
DOWNLOAD EBOOKThe nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualized as a research community and Interactive Learning Environments were initially developed.
Author: Howard E. Gardner
Publisher: Basic Books
Published: 1993
Total Pages: 320
ISBN-13: 9780465018222
DOWNLOAD EBOOKHoward Gardner's brilliant conception of individual competence is changing the face of education today. In the ten years since the publication of his seminal Frames of Mind , thousands of educators, parents, and researchers have explored the practical implications of Multiple Intelligences (MI) theory—the powerful notion that there are separate human capacities, ranging from musical intelligence to the intelligence involved in understanding oneself. Multiple Intelligences: The Theory in Practice brings together previously published and original work by Gardner and his colleagues at Project Zero to provide a coherent picture of what we have learned about the educational applications of MI theory from projects in schools and formal research over the last decade.
Author: John Senior
Publisher: Routledge
Published: 2021-09-16
Total Pages: 223
ISBN-13: 1000449653
DOWNLOAD EBOOKAs the relationship between AI machines and humans develops, we ask what it will mean to be an intelligent learner in an emerging, socio-dynamic learningscape. The need for a new global view of intelligence and education is the core discussion of this future-focussed collection of ideas, questions, and activities for learners to explore. This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence. As well as exploring AI, HI, the future of learning and caring for all learners, this book addresses fundamental questions such as: How do we educate ourselves for an increasingly uncertain future? What is the purpose of intelligence? How can a curriculum focussing on human curiosity and creativity be created? Who are we and what are we becoming? What will we invent now that AI exists? AI and Developing Human Intelligence will interest you, inform you, and empower your understanding of "intelligence" and where we are going on the next part of our journey in understanding what it is to be human now and tomorrow.
Author: Charles Jennings
Publisher: Rowman & Littlefield
Published: 2019-05-08
Total Pages: 217
ISBN-13: 1538116812
DOWNLOAD EBOOKSelf-learning machines called AIs are popping up all around us. They’re real, and really important. They’re affecting our lives—as workers, consumers, investors, citizens, patients and students. AIs bring huge promise, but also existential risk. The biggest risk isn’t killer robots—it’s the renegade leaders, despots, and unrestrained hackers everywhere we should worry about. Charles Jennings’ insightful new book, Artificial Intelligence: The Rise of the Lightspeed Learners presents sides of AI most people have never even considered before. That surprises are a main product of AIs. That AI cybersecurity is much more critical than traditional IT security. That, as Vladimir Putin put it, “the country that leads in AI will control the world.” Jennings blends insights into Silicon Valley, Washington D.C., and Beijing with insider AI stories, irreverent humor and strong opinions. He explores the global AI ecosystem from Cambridge to Beijing; and provides a stark assessment of AI activity in China—where he lived for two years working with senior government officials. He claims that the U.S. and China are in an AI horserace that will be the most important technology contest ever, with the outcome still very much in doubt. Consisting of stories, musings, interviews, and more, it provides a timely and accessible explanation of AI and its key issues to the general reading public.
Author: Burr Chen
Publisher: Springer Nature
Published: 2022-05-31
Total Pages: 100
ISBN-13: 3031015606
DOWNLOAD EBOOKThe key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations
Author: Phil Bernstein
Publisher: Routledge
Published: 2022-04-30
Total Pages: 173
ISBN-13: 1000600688
DOWNLOAD EBOOK‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.
Author: Elena L Grigorenko
Publisher: Simon and Schuster
Published: 2016-02-23
Total Pages: 216
ISBN-13: 1510701281
DOWNLOAD EBOOKCoauthored by two internationally renowned educators and researchers, this resource helps teachers strengthen their classroom practice with lessons that promote successful intelligence—a set of abilities that allow students to adapt and succeed within their environment, make the most of their strengths, and learn to compensate for their weaknesses.
Author: R.S. Michalski
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 564
ISBN-13: 366212405X
DOWNLOAD EBOOKThe ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.
Author: Oswald Campesato
Publisher: Mercury Learning and Information
Published: 2020-01-23
Total Pages: 306
ISBN-13: 1683924665
DOWNLOAD EBOOKThis book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas
