Geoff Charles - Wales and the Borders - Photographs of a Los, Roberts Ioan

Автор: Grillo Ioan
Название: Gangster Warlords
ISBN: 1408845911 ISBN-13(EAN): 9781408845912
Издательство: Bloomsbury
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Цена: 9890.00 T
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Описание: Offers 32 diverse angles on poverty and inequality in contemporary South Africa in one compelling and comprehensive collection. Five sections dealing with politics, economics, society, health and environment and the global context, each start with an introduction followed by chapters which analyse burning issues and highlight long-term and recent trends, with a focus on policies and practice.

Автор: Francesco Altomare, Mirella Cappelletti, Vita Leonessa, Ioan Rasa
Название: Markov Operators, Positive Semigroups and Approximation Processes
ISBN: 3110366983 ISBN-13(EAN): 9783110366983
Издательство: Walter de Gruyter
Цена: 247880.00 T
Наличие на складе: Невозможна поставка.
Описание: In recent years several investigations have been devoted to the study of large classes of (mainly degenerate) initial-boundary value evolution problems in connection with the possibility to obtain a constructive approximation of the associated positive C_0-semigroups. In this research monograph we present the main lines of a theory which finds its root in the above-mentioned research field.

Автор: Rhys Hefin Ioan
Название: Machine Learning with R, Tidyverse, and Mlr
ISBN: 1617296570 ISBN-13(EAN): 9781617296574
Издательство: Pearson Education
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Цена: 52790.00 T
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Описание: Summary

Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer. Machine Learning with R, the tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. This book will get you started

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the book

Machine Learning with R, the tidyverse, and mlr gets you started in machine learning using R Studio and the awesome mlr machine learning package. This practical guide simplifies theory and avoids needlessly complicated statistics or math. All core ML techniques are clearly explained through graphics and easy-to-grasp examples. In each engaging chapter, you'll put a new algorithm into action to solve a quirky predictive analysis problem, including Titanic survival odds, spam email filtering, and poisoned wine investigation.

What's inside

Using the tidyverse packages to process and plot your data
Techniques for supervised and unsupervised learning
Classification, regression, dimension reduction, and clustering algorithms
Statistics primer to fill gaps in your knowledge

About the reader

For newcomers to machine learning with basic skills in R.

About the author

Hefin I. Rhys is a senior laboratory research scientist at the Francis Crick Institute. He runs his own YouTube channel of screencast tutorials for R and RStudio.

Table of contents:

PART 1 - INTRODUCTION

1.Introduction to machine learning

2. Tidying, manipulating, and plotting data with the tidyverse

PART 2 - CLASSIFICATION

3. Classifying based on similarities with k-nearest neighbors

4. Classifying based on odds with logistic regression

5. Classifying by maximizing separation with discriminant analysis

6. Classifying with naive Bayes and support vector machines

7. Classifying with decision trees

8. Improving decision trees with random forests and boosting

PART 3 - REGRESSION

9. Linear regression

10. Nonlinear regression with generalized additive models

11. Preventing overfitting with ridge regression, LASSO, and elastic net

12. Regression with kNN, random forest, and XGBoost

PART 4 - DIMENSION REDUCTION

13. Maximizing variance with principal component analysis

14. Maximizing similarity with t-SNE and UMAP

15. Self-organizing maps and locally linear embedding

PART 5 - CLUSTERING

16. Clustering by finding centers with k-means

17. Hierarchical clustering

18. Clustering based on density: DBSCAN and OPTICS

19. Clustering based on distributions with mixture modeling

20. Final notes and further reading

Автор: Valean Cornel Ioan
Название: (Almost) Impossible Integrals, Sums, and Series
ISBN: 303002461X ISBN-13(EAN): 9783030024611
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Поставка под заказ.
Описание: This book contains a multitude of challenging problems and solutions that are not commonly found in classical textbooks.

Автор: Ioan-Iovitz Popescu, Mihaiela Lupea, Doina Tatar, Gabriel Altmann
Название: Quantitative Analysis of Poetic Texts
ISBN: 3110363801 ISBN-13(EAN): 9783110363807
Издательство: Walter de Gruyter
Цена: 185890.00 T
Наличие на складе: Невозможна поставка.
Описание: The book presents methods for the objective analysis of poetic language. Common objects of literary studies such as rhythm, semantic explications, interpretation and personal impressions are avoided. Only those properties of poetic texts are taken into account that could be quantified. For all methods both statistical tests, theoretical derivations, and examples are presented.

Автор: Christian Gastgeber, Charalampos Messis, Dan Ioan Muresan, Filippo Ronconi
Название: Pour l`amour de Byzance: Hommage a Paolo Odorico
ISBN: 3631629281 ISBN-13(EAN): 9783631629284
Издательство: Peter Lang
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Цена: 51210.00 T
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Описание: Le volume contient des articles portant sur l`histoire de la litterature byzantine et l`histoire culturelle de Byzance. L`accent principal tombe sur les nouvelles interpretations des sources primaires, tant publiees qu`inedites, avec l`ambition d`approfondir la comprehension de la societe byzantine.

Автор: Ioan-Iovitz Popescu, Mihaiela Lupea, Doina Tatar,
Название: Quantitative Analysis of Poetic Texts
ISBN: 3110336057 ISBN-13(EAN): 9783110336054
Издательство: Walter de Gruyter
Цена: 128870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book presents methods for the objective analysis of poetic language. Common objects of literary studies such as rhythm, semantic explications, interpretation and personal impressions are avoided. Only those properties of poetic texts are taken into account that could be quantified. The major chapters contain the analysis of phonic phenomena (frequency, euphony, assonance, alliteration, aggregation, rhyme), word properties (aspects of frequency, length, richness, word classes, sequences of word properties, characterisations). The synergetic control cycle is the result of the study of mutual links between properties. For all methods both statistical tests (evaluation, comparison), theoretical derivations (models), and examples are presented. The book is dedicated to the work of the famous Romanian poet Mihai Eminescu whose complete work was analysed, which made detailed illustrations of the method possible. The methods can be used mutatis mutandis for any language and text. It is the first comprehensive quantitative analysis of a poetic work.