Iterations Of Loss

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Iterations of Loss

Author : Jeffrey Sacks
Publisher : Fordham Univ Press
Page : 368 pages
File Size : 45,5 Mb
Release : 2015-02-25
Category : Literary Criticism
ISBN : 9780823264964

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Iterations of Loss by Jeffrey Sacks Pdf

In a series of exquisite close readings of Arabic and Arab Jewish writing, Jeffrey Sacks considers the relation of poetic statement to individual and collective loss, the dispossession of peoples and languages, and singular events of destruction in the nineteenth, twentieth, and twenty-first centuries. Addressing the work of Mahmoud Darwish, Ahmad Faris al-Shidyaq, Elias Khoury, Edmond Amran El Maleh, Shimon Ballas, and Taha Husayn, Sacks demonstrates the reiterated incursion of loss into the time of life—losses that language declines to mourn. Language occurs as the iteration of loss, confounding its domestication in the form of the monolingual state in the Arabic nineteenth century’s fallout. Reading the late lyric poetry of the Palestinian poet Mahmoud Darwish in relation to the destruction of Palestine in 1948, Sacks reconsiders the nineteenth century Arabic nahda and its relation to colonialism, philology, and the European Enlightenment. He argues that this event is one of catastrophic loss, wherein the past suddenly appears as if it belonged to another time. Reading al-Shidyaq’s al-Saq ‘ala al-saq (1855) and the legacies to which it points in post-1948 writing in Arabic, Hebrew, and French, Sacks underlines a displacement and relocation of the Arabic word adab and its practice, offering a novel contribution to Arabic and Middle East Studies, critical theory, poetics, aesthetics, and comparative literature. Drawing on writings of Jacques Derrida, Walter Benjamin, Avital Ronell, Judith Butler, Theodor Adorno, and Edward W. Said, Iterations of Loss shows that language interrupts its pacification as an event of aesthetic coherency, to suggest that literary comparison does not privilege a renewed giving of sense but gives place to a new sense of relation.

Iterations of Loss

Author : Jeffrey Sacks
Publisher : Modern Language Initiative
Page : 347 pages
File Size : 47,6 Mb
Release : 2015
Category : Literary Criticism
ISBN : 0823264947

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Iterations of Loss by Jeffrey Sacks Pdf

This book addresses nineteenth through twenty-first century Arabic and Arab Jewish writing (Mahmoud Darwish, Ahmad Faris al-Shidyaq, Elias Khoury, Edmond Amran El Maleh, Shimon Ballas, and Taha Husayn), showing that language interrupts is domestication into the forms of temporal and aesthetic coherency privileged in the monolingual state in West Asia.

Programming Machine Learning

Author : Paolo Perrotta
Publisher : Pragmatic Bookshelf
Page : 437 pages
File Size : 45,6 Mb
Release : 2020-03-31
Category : Computers
ISBN : 9781680507713

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Programming Machine Learning by Paolo Perrotta Pdf

You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.

Python 3 Data Visualization Using Google Gemini

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
Page : 200 pages
File Size : 42,8 Mb
Release : 2024-03-13
Category : Art
ISBN : 9781501519796

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Python 3 Data Visualization Using Google Gemini by Oswald Campesato Pdf

This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhancetheir visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading. FEATURES: Covers Python-based data visualization libraries and techniques Includes practical examples and Gemini-generated code samples for efficient learning Integrates Google Gemini for advanced data visualization capabilities Sets up a conducive development environment for a seamless coding experience Includes companion files for downloading with source code and figures

Hands-On Deep Learning Algorithms with Python

Author : Sudharsan Ravichandiran
Publisher : Packt Publishing Ltd
Page : 498 pages
File Size : 40,6 Mb
Release : 2019-07-25
Category : Computers
ISBN : 9781789344516

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Hands-On Deep Learning Algorithms with Python by Sudharsan Ravichandiran Pdf

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key FeaturesGet up-to-speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook Description Deep learning is one of the most popular domains in the AI space, allowing you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into RNNs and LSTM and how to generate song lyrics with RNN. Next, you will master the math for convolutional and capsule networks, widely used for image recognition tasks. Then you learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Afterward, you will explore various GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects. What you will learnImplement basic-to-advanced deep learning algorithmsMaster the mathematics behind deep learning algorithmsBecome familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and NadamImplement recurrent networks, such as RNN, LSTM, GRU, and seq2seq modelsUnderstand how machines interpret images using CNN and capsule networksImplement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGANExplore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAEWho this book is for If you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.

Entropy in Image Analysis

Author : Amelia Carolina Sparavigna
Publisher : MDPI
Page : 456 pages
File Size : 46,5 Mb
Release : 2019-06-24
Category : Technology & Engineering
ISBN : 9783039210923

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Entropy in Image Analysis by Amelia Carolina Sparavigna Pdf

Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.

Machine Intelligence Techniques for Data Analysis and Signal Processing

Author : Dilip Singh Sisodia,Lalit Garg,Ram Bilas Pachori,M. Tanveer
Publisher : Springer Nature
Page : 879 pages
File Size : 43,8 Mb
Release : 2023-05-30
Category : Technology & Engineering
ISBN : 9789819900855

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Machine Intelligence Techniques for Data Analysis and Signal Processing by Dilip Singh Sisodia,Lalit Garg,Ram Bilas Pachori,M. Tanveer Pdf

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.

Natural Language Processing and Chinese Computing

Author : Xiaodan Zhu,Min Zhang,Yu Hong,Ruifang He
Publisher : Springer Nature
Page : 612 pages
File Size : 55,7 Mb
Release : 2020-10-06
Category : Computers
ISBN : 9783030604578

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Natural Language Processing and Chinese Computing by Xiaodan Zhu,Min Zhang,Yu Hong,Ruifang He Pdf

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

Explainable Edge AI: A Futuristic Computing Perspective

Author : Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg
Publisher : Springer Nature
Page : 187 pages
File Size : 44,8 Mb
Release : 2022-11-10
Category : Technology & Engineering
ISBN : 9783031182921

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Explainable Edge AI: A Futuristic Computing Perspective by Aboul Ella Hassanien,Deepak Gupta,Anuj Kumar Singh,Ankit Garg Pdf

This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.

Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases

Author : Xin Huang,Yu-Chen Chen,Vijaya Prakash Krishnan Muthaiah,Zhi Wen
Publisher : Frontiers Media SA
Page : 202 pages
File Size : 40,9 Mb
Release : 2023-10-18
Category : Science
ISBN : 9782832536100

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Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases by Xin Huang,Yu-Chen Chen,Vijaya Prakash Krishnan Muthaiah,Zhi Wen Pdf

Iterative Learning Control for Multi-agent Systems Coordination

Author : Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 46,6 Mb
Release : 2017-03-03
Category : Technology & Engineering
ISBN : 9781119189060

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Iterative Learning Control for Multi-agent Systems Coordination by Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen Pdf

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice

NASA Technical Note

Author : Anonim
Publisher : Unknown
Page : 406 pages
File Size : 55,6 Mb
Release : 1967
Category : Electronic
ISBN : MINN:319510008460847

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NASA Technical Note by Anonim Pdf

Hands-On Machine Learning with TensorFlow.js

Author : Kai Sasaki
Publisher : Packt Publishing Ltd
Page : 285 pages
File Size : 43,5 Mb
Release : 2019-11-27
Category : Computers
ISBN : 9781838827878

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Hands-On Machine Learning with TensorFlow.js by Kai Sasaki Pdf

Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.

Advances in Distributed Computing and Machine Learning

Author : Suchismita Chinara,Asis Kumar Tripathy,Kuan-Ching Li,Jyoti Prakash Sahoo,Alekha Kumar Mishra
Publisher : Springer Nature
Page : 600 pages
File Size : 47,8 Mb
Release : 2023-06-27
Category : Technology & Engineering
ISBN : 9789819912032

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Advances in Distributed Computing and Machine Learning by Suchismita Chinara,Asis Kumar Tripathy,Kuan-Ching Li,Jyoti Prakash Sahoo,Alekha Kumar Mishra Pdf

This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Applications of Cuckoo Search Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
Page : 328 pages
File Size : 46,7 Mb
Release : 2020-06-23
Category : Technology & Engineering
ISBN : 9789811551635

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Applications of Cuckoo Search Algorithm and its Variants by Nilanjan Dey Pdf

This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.