Products related to Information:
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Information Theory, Inference and Learning Algorithms
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography.The book introduces theory in tandem with applications.Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction.Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks.Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast.Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses.It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
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Information Theory : From Coding to Learning
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study.Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach.With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory.This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation.Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.
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Access and Benefit Sharing of Genetic Resources, Information and Traditional Knowledge
Addressing the management of genetic resources, this book offers a new assessment of the contemporary Access and Benefit Sharing (ABS) regime.Debates about ABS have moved on. The initial focus on the legal obligations established by international agreements like the United Nations Convention on Biological Diversity and the form of obligations for collecting physical biological materials have now shifted into a far more complex series of disputes and challenges about the ways ABS should be implemented and enforced.These now cover a wide range of issues, including: digital sequence information, the repatriation of resources, technology transfer, traditional knowledge and cultural expressions, open access to information and knowledge, naming conventions, farmers’ rights, new schemes for accessing pandemic viruses sharing DNA sequences, and so on.Drawing together perspectives from an interdisciplinary range of leading and emerging international scholars, this book offers a new approach to the ABS landscape; as it breaks from the standard regulatory analyses in order to explore alternative solutions to the intractable issues for the Access and Benefit Sharing of genetic resources.Addressing these modern legal debates from a perspective that will appeal to both ABS scholars and those with broader legal concerns in the areas of intellectual property, food, governance, Indigenous issues, and so on, this book will be a useful resource for scholars and students as well as those in government and in international institutions working in relevant areas.
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Access and Benefit Sharing of Genetic Resources, Information and Traditional Knowledge
Addressing the management of genetic resources, this book offers a new assessment of the contemporary Access and Benefit Sharing (ABS) regime.Debates about ABS have moved on. The initial focus on the legal obligations established by international agreements like the United Nations Convention on Biological Diversity and the form of obligations for collecting physical biological materials have now shifted into a far more complex series of disputes and challenges about the ways ABS should be implemented and enforced.These now cover a wide range of issues, including: digital sequence information, the repatriation of resources, technology transfer, traditional knowledge and cultural expressions, open access to information and knowledge, naming conventions, farmers’ rights, new schemes for accessing pandemic viruses sharing DNA sequences, and so on.Drawing together perspectives from an interdisciplinary range of leading and emerging international scholars, this book offers a new approach to the ABS landscape; as it breaks from the standard regulatory analyses in order to explore alternative solutions to the intractable issues for the Access and Benefit Sharing of genetic resources.Addressing these modern legal debates from a perspective that will appeal to both ABS scholars and those with broader legal concerns in the areas of intellectual property, food, governance, Indigenous issues, and so on, this book will be a useful resource for scholars and students as well as those in government and in international institutions working in relevant areas.
Price: 125.00 £ | Shipping*: 0.00 £
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Why don't the children use the online learning resources?
There could be several reasons why the children are not using online learning resources. Some possible reasons could include lack of access to technology or internet connectivity, difficulty navigating the online platforms, lack of motivation or engagement with the material, or preference for traditional in-person learning methods. It is important to understand the specific barriers that are preventing the children from using online resources in order to address them effectively and promote their learning.
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What is the best learning method for memorizing information?
The best learning method for memorizing information varies from person to person, as everyone has different learning styles. However, some effective methods for memorization include using mnemonic devices, practicing active recall, spaced repetition, and teaching the information to someone else. It is important to experiment with different techniques to find what works best for you and to incorporate a variety of methods for optimal retention of information.
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How can I obtain information on learning C programming?
You can obtain information on learning C programming by accessing online resources such as tutorials, forums, and websites dedicated to programming. There are also many books available on the topic that can provide comprehensive information and guidance on learning C programming. Additionally, you can consider enrolling in a programming course or workshop either in-person or online to receive structured instruction and support in learning C programming.
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Does one absorb more information when listening than when learning?
The effectiveness of absorbing information depends on the individual's learning style. Some people may absorb more information when listening, as they are auditory learners and process information better through hearing. Others may absorb more information when learning through visual or kinesthetic methods. It ultimately comes down to personal preference and the individual's learning style.
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Introduction to Machine Learning with Applications in Information Security
Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications.The book is accessible and doesn't prove theorems, or otherwise dwell on mathematical theory.The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core machine learning topics in-depth, including Hidden Markov Models, Principal Component Analysis, Support Vector Machines, and Clustering.It also includes coverage of Nearest Neighbors, Neural Networks, Boosting and AdaBoost, Random Forests, Linear Discriminant Analysis, Vector Quantization, Naive Bayes, Regression Analysis, Conditional Random Fields, and Data Analysis. Most of the examples in the book are drawn from the field of information security, with many of the machine learning applications specifically focused on malware.The applications presented are designed to demystify machine learning techniques by providing straightforward scenarios.Many of the exercises in this book require some programming, and basic computing concepts are assumed in a few of the application sections.However, anyone with a modest amount of programming experience should have no trouble with this aspect of the book. Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http://www.cs.sjsu.edu/~stamp/ML/.For the reader's benefit, the figures in the book are also available in electronic form, and in color. About the AuthorMark Stamp has been a Professor of Computer Science at San Jose State University since 2002.Prior to that, he worked at the National Security Agency (NSA) for seven years, and a Silicon Valley startup company for two years.He received his Ph.D. from Texas Tech University in 1992. His love affair with machine learning began in the early 1990s, when he was working at the NSA, and continues today at SJSU, where he has supervised vast numbers of master's student projects, most of which involve a combination of information security and machine learning.
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Learning to Change Lives : The Strategies and Skills Learning and Development Approach
The Strategies and Skills Learning and Development (SSLD) system is an action-oriented model for enabling clients in social work, health, mental health, and human services settings to address their needs and life goals.In Learning to Change Lives, author A. Ka Tat Tsang introduces SSLD’s powerful framework and practice, which has been developed based on three decades of experience in psychotherapy, counselling, education, training, consultation, and community service. Learning to Change Lives provides detailed, step-by-step guidelines for SSLD intervention – starting with engagement with the client, assessment, translating problems into intervention plans, systematic learning and development of appropriate strategies and skills.Key practice procedures are described clearly and illustrated by case examples, specific instructions, and sample worksheets.Aimed at clinical practitioners, mental health professionals, social workers, and other human service professionals, this book can be used as a manual by practitioners and as a textbook for courses and training programs.
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Information Resources Security and Risk Management
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Continuous Provision: The Skills : Enhancing children's development through skills-based learning
The essential companion to Continuous Provision in the Early Years, the popular guide to getting continuous provision right in your setting from bestselling Early Years expert Dr Alistair Bryce-CleggNewly updated, Continuous Provision: The Skills is designed to show practitioners what effective continuous provision should look like and explain how practitioners can link their provision directly to assessment, with an emphasis on skill-based learning.Bestselling author and Early Years expert Dr Alistair Bryce-Clegg shows the difference between 'pure skills', skills related to specific areas of continuous provision like sand, water and role play, and 'facilitative skills' that children can experience in a setting.This book looks at all areas of continuous provision with a view to helping practitioners to identify, assess and teach different 'pure' and 'facilitative' skills. Continuous Provision: The Skills also includes inspiring and creative strategies for making the most of continuous provision as an open-ended experience, to allow children to use their own creativity and curiosity to interpret and use what they see around them.This book is packed with inexpensive ideas for indoor and outdoor provision, and guidance on play-based and child-centred learning. Featuring updated tips and advice in line with the new EYFS Framework, this revised edition is essential for all Early Years practitioners looking to raise the bar with their continuous provision and make a positive impact in their setting.
Price: 22.00 £ | Shipping*: 3.99 £
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What resources are available for learning Swedish?
There are several resources available for learning Swedish, both online and offline. Online resources include websites like Duolingo, Babbel, and Rosetta Stone, which offer interactive lessons and exercises. There are also many YouTube channels and podcasts dedicated to teaching Swedish. Additionally, language learning apps like Memrise and Pimsleur offer courses specifically for Swedish. Offline resources include textbooks, workbooks, and language exchange programs where you can practice speaking with native speakers.
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How can learning information be prevented from being shared with classmates?
Learning information can be prevented from being shared with classmates by implementing strict confidentiality agreements and codes of conduct within the classroom. Teachers can also encourage a culture of respect for privacy and emphasize the importance of individual learning and personal responsibility. Additionally, using technology such as secure online platforms and password-protected materials can help prevent unauthorized access to learning information. Finally, fostering a supportive and inclusive classroom environment where students feel comfortable expressing their concerns about privacy can also help prevent the sharing of learning information with classmates.
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How can one find online courses for learning CSS and HTML?
One can find online courses for learning CSS and HTML by searching on popular online learning platforms such as Coursera, Udemy, or Codecademy. These platforms offer a wide range of courses on web development, including CSS and HTML. Additionally, many universities and educational institutions offer free or paid online courses on their websites. It's also helpful to look for reviews and ratings of the courses to ensure their quality and effectiveness.
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What are the learning opportunities and learning resources for beginners in Godot C?
Learning opportunities for beginners in Godot C include online tutorials, documentation, and community forums. The official Godot website offers comprehensive tutorials and documentation for beginners to learn the basics of Godot C. Additionally, there are many community forums and online communities where beginners can ask questions, seek help, and learn from more experienced developers. These resources provide a supportive environment for beginners to learn and grow their skills in Godot C.
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