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Machine Learning for Managers

The Cooperative Extension Service A National Assessment

The Cooperative Extension Service A National Assessment

The Cooperative Extension Service a publicly supported educational agency is continually struggling to define its proper function and purpose in our changing society. Should its mission be broadly based or narrowly focused? Should staff members be generalists or specialists? Should its clients be primarily rural or urban farm or nonfarm? What role should Extension play in the information networks of the twenty-first century? Professors Warner and Christenson take a broad look at these and other questions concerning where the Extension Service has been how well it is doing and where it ought to go. Theirs is first the only comprehensive national survey that looks at the total Extension organization rather than at just one program area. Second it expresses the viewpoint of Extension clients and the public rather than that of the organization's staff; and third it combines outside survey information with data recorded in the Extension Management Information System (EMIS) and other routine agency reports. The authors evaluate among other things the extent of public awareness of the agency and its four major program areas (agriculture home economics 4-H and community development) determine the users and nonusers of the programs and the accessibility of programs to the general population identify the level of satisfaction with existing programs and outline priorities and policy issues for the future. | The Cooperative Extension Service A National Assessment

GBP 39.99
1

Machine Learning in Translation

Machine Learning in Translation

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension this book helps linguists translators and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways in terms of word embeddings chunking of larger meaning units and prediction in translation based upon the broader context. Part Two introduces key tasks including machine translation translation quality assessment and quality estimation and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create manage and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation stressing the need to empower translators with ML knowledge through communication with ML users developers and programmers and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows including students on courses in translation and localization language technology and related areas. It supports the professional development of translation practitioners so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.

GBP 34.99
1

Privatization and the Crisis of Agricultural Extension: The Case of Pakistan The Case of Pakistan

Machine Learning and Music Generation

A First Course in Machine Learning

A First Course in Machine Learning

A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings and goes all the way to the frontiers of the subject such as infinite mixture models GPs and MCMC. —Devdatt Dubhashi Professor Department of Computer Science and Engineering Chalmers University Sweden This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade. —Daniel Barbara George Mason University Fairfax Virginia USA The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling inference and prediction providing ‘just in time’ the essential background on linear algebra calculus and probability theory that the reader needs to understand these concepts. —Daniel Ortiz-Arroyo Associate Professor Aalborg University Esbjerg Denmark I was impressed by how closely the material aligns with the needs of an introductory course on machine learning which is its greatest strength…Overall this is a pragmatic and helpful book which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months. —David Clifton University of Oxford UK The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process MCMC and mixture modeling provide an ideal basis for practical projects without disturbing the very clear and readable exposition of the basics contained in the first part of the book. —Gavin Cawley Senior Lecturer School of Computing Sciences University of East Anglia UK This book could be used for junior/senior undergraduate students or first-year graduate students as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective. —Guangzhi Qu Oakland University Rochester Michigan USA

GBP 39.99
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Machine Learning Architecture in the age of Artificial Intelligence

The Humanitarian Machine Reflections from Practice

Modeling and Control of AC Machine using MATLAB /SIMULINK

Modeling and Control of AC Machine using MATLAB /SIMULINK

This book introduces electrical machine modeling and control for electrical engineering and science to graduate undergraduate students as well as researchers who are working on modeling and control of electrical machines. It targets electrical engineering students who have no time to derive mathematical equations for electrical machines in particular induction machine (IM) and doubly fed induction machines (DFIM). The main focus is on the application of field oriented control technique to induction motor (IM) and doubly fed induction motor (DFIM) in details and since the induction motors have many drawback using this technique therefore the application of a nonlinear control technique (feedback linearization) is applied to a reduced order model of DFIM to enhance the performance of doubly fed induction motor. FeaturesServes as text book for electrical motor modeling simulation and control; especially modeling of induction motor and doubly fed induction motor using different frame of references. Vector control (field oriented control) is given in more detailed and is applied to induction motor. A nonlinear controller is applied to a reduced model of an doubly induction motor associated with a linear observer to estimate the unmeasured load torque which is used to enhance the performance of the vector control to doubly fed induction motor. Access to the full MATLAB/SIMULINK blocks for simulation and control. | Modeling and Control of AC Machine using MATLAB®/SIMULINK

GBP 18.99
1

Computer A History of the Information Machine

Regional Innovation Potential: The Case of the U.S. Machine Tool Industry

Regional Innovation Potential: The Case of the U.S. Machine Tool Industry

This title was first published in 2000: Steven Nivin analyzes a process vital to economic development - technological change. He furthers understanding of the processes driving innovation so that we may gain a deeper insight into the development of economies. Specifically the study explores the concept of innovation potential and the factors that result in variations in innovation potential across metropolitan areas using the US machine tool industry as a case study. To provide a comparison the same models are also estimated for the semiconductor industry. The findings indicate that urbanisation economies localization economies human capital universities and invention-derived knowledge are significant factors. The study assesses the contributions of three different skill levels of human capital; college-educated graduate degree and locally produced PhD’s in mechanical and electrical engineering. Only the graduate and PhD degree measures are found to be significant indicating the importance of having a highly skilled pool of labour within the region. The influences of the factors appear to be similar across industries with some slight differences. The transfer of knowledge through patents is also studied. It is found that the transmission of this knowledge is slower between different industries relative to the transmission within the same industry. | Regional Innovation Potential: The Case of the U. S. Machine Tool Industry

GBP 21.99
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Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However translation between distant languages constitutes a challenge for machines. Therefore translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems including Google Translate Microsoft Translator and Sakhr each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains including the United Nation (UN) the World Health Organization (WHO) the Arab League Petra News Agency reports and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography lexis grammar and semantics at the entire-text level and in terms of lexis grammar and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology. | Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

GBP 38.99
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Back Rehabilitation Core Stability Re-examined

Encyclopedia of Microcomputers Volume 6 - Electronic Dictionaries in Machine Translation to Evaluation of Software: Microsoft Word Version 4.0

The Industrialization of Intelligence Mind and Machine in the Modern Age

Acting for the Camera: Back to One

The Future of Teaching And the Myths That Hold It Back

Bringing the People Back In State Building from Below in the Nordic Countries ca. 1500-1800

Glocal Languages and Critical Intercultural Awareness The South Answers Back

The Regulation of Air Transport From Protection to Liberalisation and Back Again

The Regulation of Air Transport From Protection to Liberalisation and Back Again

The regulation of modern civil aviation can be traced back to the later years of the Second World War. An intense debate about the future regulatory regime resulted in a compromise which to this day essentially dictates the structure of the global airline industry. Further progress towards ‘normalising’ the industry appears to be slowing down and perhaps even going into reverse. Without an understanding of the development of regulation it is not possible to understand fully the industry’s current problems and how they might be resolved. Many books have been written about the development of international air transport covering deregulation privatisation the emergence of new business models among other things but few if any have taken a broad view of the trends which have determined the industry’s current structure. The Regulation of Air Transport charts the development of aviation from the end of the Second World War to the present day following the key trends and disruptive forces. It provides an overview of what has determined the industry’s current structure the problems still facing the industry and the ways in which it could develop in the future. This wide-ranging study is important reading for both professionals and academics within the aviation field as well as anyone interested in the broader development of economic regulation. | The Regulation of Air Transport From Protection to Liberalisation and Back Again

GBP 39.99
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Revival: Genre and Void (2003) Looking Back at Sartre and Beauvoir

Getting Over OCD A 10-Step Workbook for Taking Back Your Life

High Street How our town centres can bounce back from the retail crisis