Raymond Lee – författare

For one/two-semester, beginning/intermediate-level courses in Forced Air Heating (using gas, fuel oil, electricity, and heat pump fuel sources).

This text offers a complete guide to the installation, maintenance, and service of gas, oil, and electric forced warm air heating and heat pump systems. It explores—in great detail—a large base of newer as well as traditional equipment, using the principles and practices of older furnaces as a means of understanding the newer, electronically controlled, high-efficiency furnaces. It explores, in detail, the operation and diagnosis of controls—from the thermocouple to the SmartValve®—and provides a complete overview of all aspects of residential and light commercial heating.

* What are unobtrusive methods in social research?* How are they undertaken and what are their advantages?* What are the problems associated with their use?Webb et al's 1966 classic, Unobtrusive Methods introduced the concept of unobtrusive research. Since then very little else has been written in the field. This book revisits the ground covered by Webb et al, re-contextualizing it for the information age and putting the case for an increased use of unobtrusive methods. Unobtrusive Methods in Social Research provides an updated discussion of the role of unobtrusive methods in social research. It explores the theoretical underpinnings of Webb et al's approach in order to understand more explicitly how unobtrusive methods are generated and examines some of the wider ethical issues raised by the use of unobtrusive methods in social research. In addition, it offers a discussion of using the Internet as a tool for unobtrusive research.Unobtrusive Methods in Social Research is a worthy successor to Webb et al. It is up to date, comprehensive and clearly written. It will help undergraduates to understand what has become a standard topic on research methods courses and it is hoped that it will encourage postgraduate students and professionals to make more use of unobtrusive methods in their research.

The authors examine the advantages and disadvantages of computer use, the impact of research resources and the research environment on the research process, and the status of qualitative research. They provide a framework for developing the craft and practice of CAQDAS and conclude by examining the latest techniques and their implications for the evolution of qualitative research.

Using Computers in Qualitative Research profiles and compares the principal programs available, identifying their particular strengths and limitations. It outlines the sorts of research problems that existing and forthcoming software can and cannot handle. The contributors also draw on their experiences of teaching computer-based techniques to suggest ways in which these could be incorporated into research methods training. [Reprinted with updated information on computer resources, 1992]

Issues examined include: the choice of methodologies for sensitive research; problems of estimating the size of hidden populations; questions of sampling, surveying and interviewing; and sensitivity in access and the handling of data. The book also discusses the political and ethical issues at stake in the relations between the researcher and the researched, and in the disclosure, dissemination and publication of research.

This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI. Additionally, it includes seven step-by-step NLP workshops, totaling 14 hours, that offer hands-on practice with essential Python tools, including NLTK, spaCy, TensorFlow, Keras, Transformers, and BERT.

The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.