The Cumulative Book Index

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Publisher :
ISBN 13 :
Total Pages : 2262 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis The Cumulative Book Index by :

Download or read book The Cumulative Book Index written by and published by . This book was released on 1991 with total page 2262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A world list of books in the English language.

Class

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Publisher : Simon and Schuster
ISBN 13 : 0671792253
Total Pages : 212 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Class by : Paul Fussell

Download or read book Class written by Paul Fussell and published by Simon and Schuster. This book was released on 1992 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the living-room artifacts, clothing styles, and intellectual proclivities of American classes from top to bottom.

HBS Alumni Bulletin

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ISBN 13 :
Total Pages : 842 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis HBS Alumni Bulletin by :

Download or read book HBS Alumni Bulletin written by and published by . This book was released on 2009 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Systems and Sustainable Computing

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Publisher : Springer Nature
ISBN 13 : 9811900116
Total Pages : 662 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Intelligent Systems and Sustainable Computing by : V. Sivakumar Reddy

Download or read book Intelligent Systems and Sustainable Computing written by V. Sivakumar Reddy and published by Springer Nature. This book was released on 2022-05-28 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deep Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1119861861
Total Pages : 421 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Deep Learning by : Manel Martinez-Ramon

Download or read book Deep Learning written by Manel Martinez-Ramon and published by John Wiley & Sons. This book was released on 2024-09-10 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: Thorough introductions to deep learning and deep learning tools Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures Practical discussions of recurrent neural networks and non-supervised approaches to deep learning Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general.

Mathematics for Machine Learning

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Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Engineering Applications of Neurocomputing

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Publisher : Frontiers Media SA
ISBN 13 : 2889745406
Total Pages : 168 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Engineering Applications of Neurocomputing by : Long Wang

Download or read book Engineering Applications of Neurocomputing written by Long Wang and published by Frontiers Media SA. This book was released on 2022-02-28 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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Publisher : Springer Nature
ISBN 13 : 3031133390
Total Pages : 582 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Elements of Data Science, Machine Learning, and Artificial Intelligence Using R by : Frank Emmert-Streib

Download or read book Elements of Data Science, Machine Learning, and Artificial Intelligence Using R written by Frank Emmert-Streib and published by Springer Nature. This book was released on 2023-10-03 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer Nature
ISBN 13 : 3030667774
Total Pages : 288 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Data Analytics for Cultural Heritage by : Abdelhak Belhi

Download or read book Data Analytics for Cultural Heritage written by Abdelhak Belhi and published by Springer Nature. This book was released on 2021-03-25 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Kaʻnu Culture

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Publisher :
ISBN 13 : 9780958655408
Total Pages : 188 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Kaʻnu Culture by :

Download or read book Kaʻnu Culture written by and published by . This book was released on 1996 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: