Learning theories

Xem 1-20 trên 590 kết quả Learning theories
  • Bài giảng Lý thuyết học thống kê (statistical learning theory) trình bày về mô hình tổng quát của học từ ví dụ; sai số và sai số thực nghiệm; nguyên lý quy nạp cực tiểu sai số thực nghiệm; phân lớp bayes và hàm hồi quy; đánh giá một giả thuyết; sai số thực nghiệm điều chỉnh và một số nội dung khác.

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  • The present study aims to identify standards of interactive digital concepts maps design and their measurement indicators as a tool to develop, organize and administer e-learning content in the light of Meaningful Learning Theory and Constructivist Learning Theory. To achieve the objective of the research, the author prepared a list of E-learning content design standards based on interactive digital concepts maps. It involved (11) general standards and (40) performance indicators.

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  • Tham khảo sách 'reinforcement learning theory and applications', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Psychologists have studied and empirical methods to acquire knowledge. Through this article raises some key features of the three theories of learning.

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  • Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning.

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  • From exploring learning theories, this article analyses and evaluates the orientation presented in Vietnamese MOET (Ministry of Education and Training) guideline documents for the nearest high school curricula and textbooks reforming. From that, the article presents some conclusions about the missing aspects which can affect the way teachers interpret and use the new approach in their teaching practice.

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  • In this chapter, students will be able to understand: What is second language acquisition/learning, difference between L1 & L2, how do learners acquire/learn 2nd language, theories regarding 2nd language acquisition/learning.

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  • Econometricians, as well as other scientists, are engaged in learning from their experience and data - a fundamental objective of science. Knowledge so obtained may be desired for its own sake, for example to satisfy our curiosity about aspects of economic behavior and/or for use in solving practical problems, for example to improve economic policymaking. In the process of learning from experience and data, description and generalization both play important roles.

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  • Export-Import Theory, Practices, and Procedures is a comprehensive and in-depth analysis of international trade theories and techniques. International trade professionals, researchers, students, and members of chambers of commerce will benefit from concepts and theories that explain international trade operations and give clearly defined goals and procedures for your business.

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  • This book presents some of the main ideas of game theory. It is designed to serve as a textbook for a one-semester graduate course consisting of about 28 meetings each of 90 minutes. The topics that we cover are those that we personally would include in such a one-semester course. We do not pretend to provide a complete reference book on game theory and do not necessarily regard the topics that we exclude as unimportant. Our selection inevitably reflects our own preferences and interests.

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  • The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. In recent years many successful machine learning applications have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to information-filtering systems that learn users' reading preferences, to autonomous vehicles that learn to drive on public highways. At the same time, there have been important advances in the theory and algorithms that form the foundations of this field....

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  • Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

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  • Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and...

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  • This Second Edition of the foundational textbook An Introduction to Applied Linguistics provides a state-of-the-art account of contemporary applied linguistics. The kinds of language problems of interest to applied linguists are discussed and a distinction drawn between the different research approach taken by theoretical linguists and by applied linguists to what seem to be the same problems.

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  • This book help develop your understanding of and skills in academic argument and thinking, statistical terms and research ethics, multiple choice questions on each chapter to help test your learning, additional essay questions to give you practice at exam-style questions, advanced Reading section containing a variety of current research papers that enable you to key into current issues and gain ideas for your independent projects.

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  • (bq) part 1 book "introduction to machine learning" has contents: introduction, supervised learning, bayesian decision theory, parametric methods, multivariate methods, multivariate methods, clustering, nonparametric methods, decision trees.

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  • Nowadays, huge amount of multimedia data are being constantly generated in various forms from various places around the world. With ever increasing complexity and variability of multimedia data, traditional rule-based approaches where humans have to discover the domain knowledge and encode it into a set of programming rules are too costly and incompetent for analyzing the contents, and gaining the intelligence of this glut of multimedia data. The challenges in data complexity and variability have led to revolutions in machine learning techniques.

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  • SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put the theory into practice. In this insightful book, author C.J. Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it directly to your use of SQL. This second edition includes new material on recursive queries, “missing information” without nulls, new update operators, and topics such as aggregate operators, grouping and ungrouping, and view updating.

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  • This paper reports the on-going research of a thesis project investigating a computational model of early language acquisition. The model discovers word-like units from crossmodal input data and builds continuously evolving internal representations within a cognitive model of memory. Current cognitive theories suggest that young infants employ general statistical mechanisms that exploit the statistical regularities within their environment to acquire language skills.

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  • The Victorian Early Years Learning and Development Framework (VEYLDF) (Victorian Framework) birth to eight years, has been developed in partnership with the Office for Children and Portfolio Coordination, Department of Education and Early Childhood De- velopment (DEECD) and the Victorian Curriculum and Assessment Authority (VCAA). The VEYLDF was launched November 2009 for implementation in 2010. The Victorian Framework describes five Learning and Development Outcomes for children from birth to eight years.

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