Succeed in Cambridge English - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Succeed in Cambridge English write by Andrew Betsis. This book was released on 2011-01-01. Succeed in Cambridge English available in PDF, EPUB and Kindle. This is the overprinted edition for teachers which features 10 complete Preliminary English Test (PET) practice tests with a full-colour speaking section.
Layout Essentials
Layout Essentials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Layout Essentials write by Beth Tondreau. This book was released on 2011-06. Layout Essentials available in PDF, EPUB and Kindle. This book outlines and demonstrates basic layout/grid guidelines and rules.
The Fundamentals of Creative Design
The Fundamentals of Creative Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Fundamentals of Creative Design write by Gavin Ambrose. This book was released on 2011-08-31. The Fundamentals of Creative Design available in PDF, EPUB and Kindle. Introduces students to the various aspects of the graphic design. This title provides a fresh introduction to the key elements of the discipline and looks at the following topics: design thinking, format, layout, grids, typography, colour, image and print and finish.
Food and Beverage Management
Food and Beverage Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Food and Beverage Management write by Bernard Davis. This book was released on 2013-01-11. Food and Beverage Management available in PDF, EPUB and Kindle. This introductory textbook provides a thorough guide to the management of food and beverage outlets, from their day-to-day running through to the wider concerns of the hospitality industry. It explores the broad range of subject areas that encompass the food and beverage market and its five main sectors – fast food and popular catering, hotels and quality restaurants and functional, industrial, and welfare catering. New to this edition are case studies covering the latest industry developments, and coverage of contemporary environmental concerns, such as sourcing, sustainability and responsible farming. It is illustrated in full colour and contains end-of-chapter summaries and revision questions to test your knowledge as you progress. Written by authors with many years of industry practice and teaching experience, this book is the ideal guide to the subject for hospitality students and industry practitioners alike.
Principles of Data Mining
Principles of Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Principles of Data Mining write by David J. Hand. This book was released on 2001-08-17. Principles of Data Mining available in PDF, EPUB and Kindle. The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
