Tag: Algorithms

A Practical Guide to Data Structures and Algorithms using Java


Free Download Kenneth. J Goldman, "A Practical Guide to Data Structures and Algorithms using Java"
English | 2008 | pages: 1056 | ISBN: 158488455X | PDF | 21,3 mb
Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to conventional data structures and algorithms books, A Practical Guide to Data Structures and Algorithms using Java presents comprehensive coverage of fundamental data structures and algorithms in a unifying framework with full implementation details. Recognizing that software development is a top-down process, this applications-centered book provides careful guidance to students and practitioners.

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Machine Learning Algorithms Using Scikit and TensorFlow Environments


Free Download Machine Learning Algorithms Using Scikit and TensorFlow Environments
English | 2023 | ISBN: 1668485311 | 473 pages | True PDF | 14.24 MB
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

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Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems


Free Download Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems
English | 2023 | ISBN: 9819937493 | 345 Pages | PDF EPUB (True) | 50 MB
Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing reconstruction have important application value in engineering practice, and they are also the hot frontiers in the field of image processing. This book focuses on the numerical analysis of ill condition of imaging inverse problems and the methods of solving imaging inverse problems based on operator splitting. Both algorithmic theory and numerical experiments have been addressed. The book is divided into six chapters, including preparatory knowledge, ill-condition numerical analysis and regularization method of imaging inverse problems, adaptive regularization parameter estimation, and parallel solution methods of imaging inverse problem based on operator splitting. Although the research methods in this book take image denoising, deblurring, inpainting, and compressed sensing reconstruction as examples, they can also be extended to image processing problems such as image segmentation, hyperspectral decomposition, and image compression. This book can benefit teachers and graduate students in colleges and universities, or be used as a reference for self-study or further study of image processing technology engineers.

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Machine Learning Algorithms Adversarial Robustness in Signal Processing (Wireless Networks)


Free Download Machine Learning Algorithms: Adversarial Robustness in Signal Processing (Wireless Networks) by Fuwei Li, Lifeng Lai, Shuguang Cui
English | November 16, 2022 | ISBN: 3031163745 | 113 pages | MOBI | 11 Mb
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks.

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Java Algorithms & Data Structures A Practical Guide


Free Download Java Algorithms & Data Structures: A Practical Guide by David Kim
English | 2023 | ISBN: 9798223184560 | 215 pages | MOBI | 4.99 Mb
Are you ready to unlock the full potential of Java algorithms and data structures? Look no further than our practical guide, designed to empower you with the knowledge and techniques needed to build robust, scalable, and efficient software solutions.

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Data Structures And Algorithms Made Easy


Free Download Data Structures And Algorithms Made Easy: Data Structures And Algorithmic Puzzles
English | 2023 | ASIN : B0CBW278NC | 1400 Pages | EPUB | 18 MB
"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.

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Artificial Intelligence and Industrial Applications Algorithms, Techniques, and Engineering Applications


Free Download Artificial Intelligence and Industrial Applications: Algorithms, Techniques, and Engineering Applications
English | 2023 | ISBN: 3031435192 | 863 Pages | PDF EPUB (True) | 119 MB
Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications.

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