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Author: Megan Mueller Publisher: Elsevier ISBN: 0080463835 Category : Psychology Languages : en Pages : 554
Book Description
The original edition was the first book to provide a comprehensive overview of the ways in which animals can assist therapists with treatment of specific populations, and/or in specific settings. The second edition continues in this vein, with 7 new chapters plus substantial revisions of continuing chapters as the research in this field has grown. New coverage includes: Animals as social supports, Use of AAT with Special Needs students, the role of animals in the family- insights for clinicians, and measuring the animal-person bond. - Contributions from veterinarians, animal trainers, psychologists, and social workers - Includes guidelines and best practices for using animals as therapeutic companions - Addresses specific types of patients and environmental situations
Author: Megan Mueller Publisher: Elsevier ISBN: 0080463835 Category : Psychology Languages : en Pages : 554
Book Description
The original edition was the first book to provide a comprehensive overview of the ways in which animals can assist therapists with treatment of specific populations, and/or in specific settings. The second edition continues in this vein, with 7 new chapters plus substantial revisions of continuing chapters as the research in this field has grown. New coverage includes: Animals as social supports, Use of AAT with Special Needs students, the role of animals in the family- insights for clinicians, and measuring the animal-person bond. - Contributions from veterinarians, animal trainers, psychologists, and social workers - Includes guidelines and best practices for using animals as therapeutic companions - Addresses specific types of patients and environmental situations
Author: Avrim Blum Publisher: Cambridge University Press ISBN: 1108617360 Category : Computers Languages : en Pages : 433
Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Christopher D. Manning Publisher: Cambridge University Press ISBN: 1139472100 Category : Computers Languages : en Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: David Cox Publisher: Osborne Books (UK) ISBN: 9781905777655 Category : Languages : en Pages : 268
Book Description
An essential teaching text for the AAT Level 2 Certificate in Accounting, 'Basic Accounting II'. Written in a clear, easy-to-understand style, the text is written closely to the syllabus and contains Case Studies, Key Terms, Activities and answers. This revised edition has been updated to reflect changes in the VAT rate.
Author: Megan Mueller
Author: Megan Mueller
Author: Edward Salisbury Dana
Author: Avrim Blum
Author: Christopher D. Manning
Author: James Meschter Anders
Author: David Cox
Author: Dan Jurafsky
Author: 
Author: William Hannum Grubb Bullard
Author: Tara Askham