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A collection of proverbs in the original Scots, and translated into
English covering family, work, money, self-Improvement and food and
drink amongst other topics. Scots proverbs tell it like it is, and
provide advice for a myriad of situations. This pocketsize volume
would make an excellent souvenir or a gift for any occasion.
In Enlightenment Edinburgh, Allan Ramsay (c. 1684 1758) was a
foundationally important poet, dramatist, song collector, theatre
owner, cultural leader in art and music, and innovative
entrepreneur in many spheres from language to libraries. This
series, the result of an international research project, presents
Ramsay's complete works in a dependable scholarly edition for the
first time, thereby illuminating a body of work crucial in its own
right and essential to both the Scottish Enlightenment and the
Vernacular Revival associated with Fergusson, Burns and others.
Ramsay's pastoral comedy The Gentle Shepherd (1725; 1729) went
through over a hundred editions, was performed many hundreds of
times and inspired a wide range of visual representations and
critiques. Although it is one of the most important printed texts
in Scots literature, there has never been a scholarly edition which
does justice to its complicated genesis and to the music of its
many songs. This groundbreaking and definitive edition will be
welcomed by scholars, teachers and practitioners of literature,
drama and music, and opens up new avenues for research and
performance.
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Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012, Proceedings (Paperback, 2012 ed.)
Allan Ramsay, Gennady Agre
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R1,597
Discovery Miles 15 970
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 15th
International Conference on Artificial Intelligence: Methodology,
Systems, and Applications, AIMSA 2012, held in Varna, Bulgaria in
September 2012. The 36 revised full papers presented were carefully
reviewed and selected from numerous submissions. The papers are
organized in topical sections on natural language processing,
social networks, knowledge representation and reasoning, machine
learning, planning and agents, search, and computer vision.
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The Tea-Table Miscellany
Allan Ramsay; Edited by Murray Pittock, Brianna Robertson-Kirkland
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R5,213
R4,310
Discovery Miles 43 100
Save R903 (17%)
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Ships in 9 - 15 working days
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The first ever edition of The Tea-Table Miscellany, the seminal
collection in defining eighteenth-century Scottish song Detailed
examination of the musical archaeology for each of the songs,
providing for the first time comprehensive antecedents for almost
all the songs in this critical contribution to the establishment of
a Scottish song 'tradition' Uniquely comprehensive survey of early
sources for the tunes of Ramsay's songs Detailed collation of texts
against all extant manuscript sources and relevant printed editions
and comprehensive explanatory annotations offering new insights
into Ramsay's cultural, historical, political, literary and
theatrical contexts This edition of The Tea-Table Miscellany is the
first ever produced, bringing together the four volumes of this
collection of songs published between 1723 and 1737. The Tea-Table
Miscellany combines traditional Scottish song, works by Allan
Ramsay and his contemporaries, together with material from D'Urfey,
Playford and the English stage and broadside, in a collection of
399 songs. This edition offers, for the first time, annotations,
background, and a study of origins for all the songs and tunes
examining both Ramsay's categorisation of the authorship and origin
of the song texts and tunes to which it was most likely he was
referring. As such, the edition consists of a detailed
introduction, the clearly presented song texts, notes on the songs
that identify both their print and musical antecedents, musical
illustrations that show major variations in the contemporary tunes
with which the songs are associated, illustrations of the title
pages, and the main design features and ornaments used in
Ruddiman's original edition.
The definitive text of Allan Ramsay's poems, presenting his
uncollected works chronologically for the first time, with
comprehensive explanatory notes Offers the fullest edition of
Ramsay's poems to date, in which previously undiscovered texts
expand his known literary corpus Provides a definitive text of
Ramsay's poems in which uncollected works are presented
chronologically for the first time Detailed collation of texts
against all extant manuscript sources and relevant printed
editions, and comprehensive explanatory annotations offering new
insights into Ramsay's historical, political, literary and
religious contexts Allan Ramsay was central to all aspects of
Scottish literary culture in the eighteenth century, working
simultaneously in editing, playwriting, theatre management, song
collecting and bookselling, as well as founding and directing
Britain's first circulating library. It was, however, his own
original work as a poet which had a transformative influence on the
way in which Scottish literature would develop in the ensuing
decades and, indeed, centuries. Emerging as a published author in
the early 1710s, Ramsay built a remarkably prominent profile as a
poet of the Scots language whose work appealed to a diverse range
of readers, allowing him to produce prestigious subscribers'
editions of his poems in 1721 and 1728 and to continue as a poet
until his death in 1758. This definitive and ground-breaking
edition of Ramsay's poems reflects the fifty-year career of an
influential cultural and literary innovator, which will open new
avenues for research.
Kickstart your emotion analysis journey with this hands-on,
step-by-step guide to data science success Key Features * Discover
the ins and outs of the end-to-end emotional analysis workflow *
Explore the use of various ML models to derive meaningful insights
from all sorts of data * Hone your craft by building and tweaking
complex emotion analysis models in practical projects Book
Description The AI winter has long thawed, but many organizations
are still failing to harness the power of machine learning (ML). If
you want to tap that potential and add value to your own business
with cutting-edge emotion analysis, you've found what you need in
this trusty guide. In Machine Learning for Emotion Analysis, you'll
take your foundational data science skills and grow them in the
exciting realm of emotion analysis. With its practical approach,
you'll be equipped with everything you need to give your company a
clear insight into what your customers are thinking. This
no-nonsense guide jumps right into the practicalities of emotion
analysis, teaching you how to preprocess data, build a serviceable
dataset, and ensure top-notch data quality. Once you're set up for
success, we get hands-on with complex ML techniques. This is where
you go from the intermediate to the advanced, covering deep neural
networks, support vector machines, conditional probabilities, and
more, as you experience the full breadth of possibilities with
emotion analysis. The book finally rounds out with a couple of
in-depth use cases - a sort of sandbox for you to experiment with
your newly acquired skill set. By the end of this book, you'll be
ready to present yourself as a valuable asset to any organization
that takes data science seriously. What you will learn *
Distinguish between sentiment analysis and emotion analysis *
Master the art of data preprocessing and ensure high-quality input
* Expand your use of data sources through data transformation *
Build models that employ cutting-edge deep learning techniques *
Discover how best to tune your models' hyperparameters * Explore
the use of KNN, SVM, and DNNs for advanced use cases * Build APIs
and integrate your models into existing solutions * Practice your
new skills by working on real-world scenarios Who This Book Is For
This book is for data scientists and Python developers who want to
gain insights into what people are saying about their product,
company, brand, governorship, and more. Basic knowledge of machine
learning and Python programming knowledge is necessary to grasp the
concepts covered.
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