Class

Class PDF

Author: Paul Fussell

Publisher: Simon and Schuster

Published: 1992

Total Pages: 212

ISBN-13: 0671792253

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This book describes the living-room artifacts, clothing styles, and intellectual proclivities of American classes from top to bottom.

The New Sultan

The New Sultan PDF

Author: Soner Cagaptay

Publisher: Bloomsbury Publishing

Published: 2017-04-30

Total Pages: 324

ISBN-13: 1786722364

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In a world of rising tensions between Russia and the United States, the Middle East and Europe, Sunnis and Shiites, Islamism and liberalism, Turkey is at the epicentre. And at the heart of Turkey is its right-wing populist president, Recep Tayyip Erdo?an. Since 2002, Erdo?an has consolidated his hold on domestic politics while using military and diplomatic means to solidify Turkey as a regional power. His crackdown has been brutal and consistent - scores of journalists arrested, academics officially banned from leaving the country, university deans fired and many of the highest-ranking military officers arrested. In some senses, the nefarious and failed 2016 coup has given Erdo?an the licence to make good on his repeated promise to bring order and stability under a 'strongman'. Here, leading Turkish expert Soner Cagaptay will look at Erdo?an's roots in Turkish history, what he believes in and how he has cemented his rule, as well as what this means for the world. The book will also unpick the 'threats' Erdogan has worked to combat - from the liberal Turks to the Gulen movement, from coup plotters to Kurdish nationalists - all of which have culminated in the crisis of modern Turkey.

Intelligent Systems and Sustainable Computing

Intelligent Systems and Sustainable Computing PDF

Author: V. Sivakumar Reddy

Publisher: Springer Nature

Published: 2022-05-28

Total Pages: 662

ISBN-13: 9811900116

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The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.

Mathematics for Machine Learning

Mathematics for Machine Learning PDF

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R PDF

Author: Frank Emmert-Streib

Publisher: Springer Nature

Published: 2023-10-03

Total Pages: 582

ISBN-13: 3031133390

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The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.

Data Analytics for Cultural Heritage

Data Analytics for Cultural Heritage PDF

Author: Abdelhak Belhi

Publisher: Springer Nature

Published: 2021-03-25

Total Pages: 288

ISBN-13: 3030667774

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This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.

Proofs from THE BOOK

Proofs from THE BOOK PDF

Author: Martin Aigner

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 194

ISBN-13: 3662223430

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According to the great mathematician Paul Erdös, God maintains perfect mathematical proofs in The Book. This book presents the authors candidates for such "perfect proofs," those which contain brilliant ideas, clever connections, and wonderful observations, bringing new insight and surprising perspectives to problems from number theory, geometry, analysis, combinatorics, and graph theory. As a result, this book will be fun reading for anyone with an interest in mathematics.