Products related to Perspective:
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Machine Learning : A Probabilistic Perspective
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis.Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data.This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning.The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms.All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics.Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way.Almost all the models described have been implemented in a MATLAB software package-PMTK (probabilistic modeling toolkit)-that is freely available online.The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
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Organization Development Interventions on Chinese Language Learners: A Learning Community Perspective
This book focuses on the interface of organizational development and language learning, using mixed methods of qualitative (reflective journals) and quantitative analysis (experimental design, pre- and post-testing exam scores and questionnaires).Employing organizational development interventions (ODIs) in the context of language learning enriches the diversity and expands the possibilities of higher education.The action research cycle employed in the three-semester ODI process offers readers a source of inspiration.As the book shows, the combination of ODI techniques with language learning strategies in a learning community can be both effective and efficient, holding great potential for further research.
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Machine Learning : An Algorithmic Perspective, Second Edition
A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms.Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning.It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. New to the Second EditionTwo new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of contentRevision of the support vector machine material, including a simple implementation for experimentsNew material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptronAdditional discussions of the Kalman and particle filtersImproved code, including better use of naming conventions in PythonSuitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code.Each chapter includes detailed examples along with further reading and problems.All of the code used to create the examples is available on the author’s website.
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Machine Learning : A Bayesian and Optimization Perspective
Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification.The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees.It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines, Bayesian inference with a focus on the EM algorithm and its approximate inference variational versions, Monte Carlo methods, probabilistic graphical models focusing on Bayesian networks, hidden Markov models and particle filtering.Dimensionality reduction and latent variables modelling are also considered in depth. This palette of techniques concludes with an extended chapter on neural networks and deep learning architectures.The book also covers the fundamentals of statistical parameter estimation, Wiener and Kalman filtering, convexity and convex optimization, including a chapter on stochastic approximation and the gradient descent family of algorithms, presenting related online learning techniques as well as concepts and algorithmic versions for distributed optimization. Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts.Most of the chapters include typical case studies and computer exercises, both in MATLAB and Python. The chapters are written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as courses on sparse modeling, deep learning, and probabilistic graphical models. New to this edition: Complete re-write of the chapter on Neural Networks and Deep Learning to reflect the latest advances since the 1st edition.The chapter, starting from the basic perceptron and feed-forward neural networks concepts, now presents an in depth treatment of deep networks, including recent optimization algorithms, batch normalization, regularization techniques such as the dropout method, convolutional neural networks, recurrent neural networks, attention mechanisms, adversarial examples and training, capsule networks and generative architectures, such as restricted Boltzman machines (RBMs), variational autoencoders and generative adversarial networks (GANs). Expanded treatment of Bayesian learning to include nonparametric Bayesian methods, with a focus on the Chinese restaurant and the Indian buffet processes.
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What is learning from a personal perspective?
Learning from a personal perspective is the process of acquiring new knowledge, skills, or understanding through one's own experiences, reflections, and interactions. It involves being open to new ideas, being willing to challenge existing beliefs, and being proactive in seeking out opportunities for growth. Personal learning is often driven by curiosity, passion, and a desire for self-improvement, and it can lead to personal development, increased confidence, and a broader perspective on the world.
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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 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 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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Natural Language Processing : A Machine Learning Perspective
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework.NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems.Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods.Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own.Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
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Knowledge and Learning in Organizations : A Knowing-In-Practice Perspective of University Academic Managers
This book explores the notion of knowing-in-practice to unravel the formation of academic managers' knowing in a community university.It considers the unique socio-historical context and institutional intricacies, such as procedures, flows, and political and power structures.Knowing-in-practice implies that knowledge is dynamic, constantly in flux, and intricately linked to the capability for action within the social context.In essence, knowledge is emergent and anchored by its material context. The role of an academic manager is distinctive, involving the concurrent practice of higher education management and teaching.Hence, academic-managers are supposed to deal with a multiplicity of activities and interpersonal relationships.This work will enhance our understanding of the constitution process of academic-managers in higher education, emphasizing the perspective of knowing-in-practice.It offers insights into the learning processes and knowing associated with academic management, contributing to the improvement of university management and leadership.Further, it contributes to the advancement of organizational studies related to learning and knowing.
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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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Early Language Learning in Context : A Critical Socioeducational Perspective
This book critically analyses early school foreign language teaching policy and practice, foregrounding the influence of the socioeducational and cultural context on how policies are implemented and assessing the factors which either promote or constrain their effectiveness.It focuses on four Asian contexts - Malaysia, South Korea, Sri Lanka and Thailand - while providing a discussion of policy and practice in Canada and Finland as a comparison.Concentrating on the state school sector, it criticises the worldwide trend for a focus on English as the principal or only foreign language taught in primary schools, founded on a rationale that widespread proficiency in English is important for future national success in a globalised economy.It maintains that the economic rationale is not only largely unfounded and irrelevant to the language learning experiences of young children but also that the focus on English exacerbates system inequalities rather than contributing to their reduction.The book argues for a broader perspective on language learning in primary schools, one that values multilingualism and knowledge of regional and indigenous languages alongside a more diverse range of foreign languages.This book will appeal to educational policymakers, researchers and students interested in early foreign language learning in state educational systems worldwide.
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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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Is it worth learning web development?
Yes, learning web development can be worth it for many reasons. It is a valuable skill in today's digital age, with a high demand for web developers in the job market. It can also provide opportunities for freelance work and entrepreneurship. Additionally, web development allows you to create and customize websites and web applications, which can be a rewarding and creative endeavor.
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From which perspective do you write learning stories about the child in the daycare?
I write learning stories about the child in the daycare from an observational and reflective perspective. This means that I observe the child's actions, interactions, and behaviors in various learning experiences and then reflect on their learning and development. I focus on the child's strengths, interests, and progress, and I also consider their individual learning style and needs. This perspective allows me to capture a holistic view of the child's learning journey and provide meaningful insights for their ongoing development.
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What are helpful learning resources for The Giver?
Helpful learning resources for "The Giver" include study guides, critical analyses, and character analyses. Online resources such as SparkNotes and Shmoop provide chapter summaries, themes, and character information. Additionally, watching the movie adaptation of the book can help visualize the story and characters. Joining book clubs or online discussion forums can also provide valuable insights and perspectives on the novel.
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