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 Название: Digital Image Denoising in MATLAB
Автор: Chi-Wah Kok, Wing-Shan Tam
Издательство: Wiley-IEEEPress
Год: 2024
Страниц: 227
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Presents a review of image denoising algorithms with practical MATLAB implementation guidance. Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques. | |
Разместил: Ingvar16 11-06-2024, 14:40 | Комментарии: 0 | Подробнее
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 Название: Tensorflow for Quantitative Finance: Transform Financial Analysis with TensorFlow's Cutting-Edge Machine Learning Techniques (Python Libraries for Finance)
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 578
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Transform your financial analysis and modeling with "TensorFlow for Quantitative Finance," the ultimate guide for financial professionals seeking to harness the power of Machine Learning. This comprehensive book equips financial analysts, data scientists, and quantitative researchers with the tools and knowledge to apply TensorFlow's advanced capabilities to a wide range of financial applications. Explore how TensorFlow can revolutionize financial modeling, from predictive analytics to risk management and algorithmic trading. This expert-level resource provides practical, hands-on examples, detailed tutorials, and real-world case studies to help you integrate TensorFlow into your quantitative finance workflows effectively. With contributions from leading industry experts, this book offers insights into the latest advancements in financial technology and practical guidance on applying TensorFlow to solve complex financial problems. Enhance your analytical skills, make data-driven decisions, and stay competitive in the evolving financial landscape with "TensorFlow for Quantitative Finance. | |
Разместил: Ingvar16 11-06-2024, 05:31 | Комментарии: 0 | Подробнее
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 Название: Binary Representation Learning on Visual Images: Learning to Hash for Similarity Search
Автор: Zheng Zhang
Издательство: Springer
Год: 2024
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 50.2 MB
This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of Machine Learning and multimedia. Binary representation learning, often known as learning to hash or hashing, excels in converting high-dimensional data into compact binary codes meanwhile preserving the semantic attributes and maintaining the similarity measurements. In this book, we provide a comprehensive introduction to the theories, algorithms, and applications that cover the latest research in hashing-based visual image retrieval, with a focus on binary representations. These representations are crucial in enabling fast and reliable feature extraction and similarity assessments on large-scale data. This book offers an insightful analysis of various research methodologies in binary representation learning for visual images, ranging from basis shallow hashing, advanced high-order similarity-preserving hashing, deep hashing, as well as adversarial and robust deep hashing techniques. These approaches can empower readers to proficiently grasp the fundamental principles of the traditional and state-of-the-art methods in binary representations, modeling, and learning. The theories and methodologies of binary representation learning expounded in this book will be beneficial to readers from diverse domains such as Machine Learning, multimedia, social network analysis, web search, information retrieval, data mining, and others. | |
Разместил: Ingvar16 11-06-2024, 04:48 | Комментарии: 0 | Подробнее
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 Название: Deep Learning and Computational Physics
Автор: Deep Ray , Orazio Pinti , Assad A. Oberai
Издательство: Springer
Год выхода: 2024
Страниц: 160
Формат: True PDF
Размер: 10,1 MB
Язык: английский
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students. | |
Разместил: Dovegone 10-06-2024, 23:15 | Комментарии: 0 | Подробнее
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 Название: Agile-SOFL Agile Formal Engineering Method
Автор: Shaoying Liu
Издательство: Springer
Год выхода: 2024
Страниц: 154
Формат: True PDF
Размер: 14,4 MB
Язык: английский
This book describes a specific solution, known as Agile-SOFL, for bridging agile and formal engineering and discusses its benefits for realistic software projects. In this book, the author argues that formal engineering methods and agile approaches are complementary in ensuring high productivity while enhancing reliability. Agile-SOFL offers a highly practical and systematic method that strikes a good balance of efforts for enhancing both software productivity and reliability. Specifically, Agile-SOFL is characterized by five features: (1) systematic approach to constructing hybrid specifications for requirements-related faults prevention, (2) specification-based incremental programming for quality implementation, (3) specification-based inspection and testing for system validation, (4) automatic testing-based formal verification for the correctness of code, and (5) effective project management for high effectiveness and efficiency in applying Agile-SOFL. | |
Разместил: Dovegone 10-06-2024, 22:49 | Комментарии: 0 | Подробнее
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 Название: Java Systems Design Interview Challenger: Pass Java System Design interviews by understanding the fundamentals of a cloud system’s components. Don’t try to learn all the tools, focus on concepts instead
Автор: Rafael Chinelato del Nero
Издательство: Leanpub
Год: 2024-05-01
Страниц: 290
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
What about learning about System Design with a Java flavor? In this book, you will learn essential fundamentals for System design within the Java ecosystem so you know what technologies to use to design a Java system! Nowadays, most companies ask for system design knowledge in their interviews. In this book, you will learn the fundamentals of a cloud system, how to make it scalable, and how to build robust systems. Instead of learning tools, focus on the concepts so you don't waste time trying to learn everything. The Systems design interview became very popular in the market nowadays. After the big techs Google, Meta, Microsoft, Amazon and other companies started using it, all the other companies are doing the same. That’s why knowing how the systems design interview works is key for you to get a good job. The main objective of this book is to give you a solid foundational knowledge about Systems Design so you can learn any new technology faster. Programmers are not what the market wants anymore. Nowadays, companies are looking for software engineers, this means, a developer who can analyze a problem and come up with effective solutions. The ability of articulating a solution, creating good quality code, talking to coworkers, preparing documentation with architecture solutions, designing database, create performant and scalable systems are the skills companies are looking for. Some years ago, knowing a Java framework was enough for the market but the scenario has changed. That’s why the most powerful skill any software can have is the ability to learn, the ability to be a software engineer. | |
Разместил: Ingvar16 10-06-2024, 15:21 | Комментарии: 0 | Подробнее
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 Название: jаvascript for hackers : Learn to think like a hacker
Автор: Gareth Heyes
Издательство: Leanpub
Год: 2024-01-25
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB
Learn how to find interesting behaviour and flaws in jаvascript. Reading this book you will find the latest and greatest techniques for hacking jаvascript and generating XSS payloads. Includes ways to construct jаvascript using only +[]()! characters. Never heard of DOM Clobbering? This book has all the details. Have you ever wondered how a hacker approaches finding flaws in the browser and jаvascript? This book shares the thought processes and gives you tools to find your own flaws. It shares the basics of jаvascript hacking, then dives in and explains how to construct jаvascript payloads that don't use parentheses. Once you’ve got your chosen environment set up the next step is to set a goal. If you have no goal you can be staring at a blank page not getting anywhere. A goal enables you to make sure you’re always trying something and it can be flexible too. For instance one of my goals was “execute jаvascript without parentheses”. If you’ve set a good goal it will almost likely never end and good ones also mutate into another goal for example the goal I mentioned earlier mutated into “execute jаvascript functions without parentheses and pass arguments”. Now you can see how these two goals are useful because now you have a clear idea what you have to do and you can abuse jаvascript features to achieve that goal. | |
Разместил: Ingvar16 10-06-2024, 14:10 | Комментарии: 0 | Подробнее
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 Название: Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science, 2nd Edition
Автор: Stefan Riezler, Michael Hagmann
Издательство: Springer
Год: 2024
Страниц: 179
Язык: английский
Формат: pdf (true), epub
Размер: 25.7 MB
This book introduces empirical methods for Machine Learning with a special focus on applications in Natural Language Processing (NLP) and Data Science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them. The book focuses on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs). Based on the interpretable parameters of the trained GAMs or LMEMs, the book presents model-based statistical tests such as a validity test that allows for the detection of circular features that circumvent learning. Furthermore, the book discusses a reliability coefficient using variance decomposition based on random effect parameters of LMEMs. Lastly, a significance test based on the likelihood ratios of nested LMEMs trained on the performance scores of two machine learning models is shown to naturally allow the inclusion of variations in meta-parameter settings into hypothesis testing, and further facilitates a refined system comparison conditional on properties of input data. The book is self-contained with an appendix on the mathematical background of generalized additive models and linear mixed effects models as well as an accompanying webpage with the related R and Python code to replicate the presented experiments. The second edition also features a new hands-on chapter that illustrates how to use the included tools in practical applications. | |
Разместил: Ingvar16 10-06-2024, 12:53 | Комментарии: 0 | Подробнее
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 Название: 150+ Python Pattern Programs: Top Python exercises to feed your creativity with if statements and loops (150+ Pattern Programs Book 1)
Автор: Hernando Abella
Издательство: Aluna Publishing House
Год: 2024
Страниц: 186
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB
"The continued demand for Python skills across industries makes it a valuable asset for developers". Develop your creativity by creating beautiful asterisk patterns with if statements and loops using the Python language. this awesome language will allow you to feel more comfortable writing code because you will master the more essential topics of programming by practicing these techniques. If you are studying computer science at university, this book is perfect for you. They will require you to create these types of patterns that will be very useful to learn all types of advanced techniques and quickly master this wonderful language. | |
Разместил: Ingvar16 10-06-2024, 12:19 | Комментарии: 0 | Подробнее
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 Название: Hands-On Differential Privacy: Introduction to the Theory and Practice Using OpenDP
Автор: Ethan Cowan, Michael Shoemate, Mayana Pereira
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 362
Язык: английский
Формат: True PDF, True/Retail EPUB
Размер: 12.6 MB
Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other traditional statistical disclosure limitation techniques. This practical book explains how differential privacy (DP) can help. Authors Ethan Cowan, Michael Shoemate, and Mayana Pereira explain how these techniques enable data scientists, researchers, and programmers to run statistical analyses that hide the contribution of any single individual. You'll dive into basic DP concepts and understand how to use open source tools to create differentially private statistics, explore how to assess the utility/privacy trade-offs, and learn how to integrate differential privacy into workflows. The OpenDP Library is part of the larger OpenDP Project. OpenDP is a community effort to build a trustworthy suite of open-source tools for enabling privacy-protective analysis of sensitive personal data, focused on a library of algorithms for generating differentially private statistical releases. The target use cases for OpenDP are to enable government, industry, and academic institutions to safely and confidently share sensitive data to support scientifically oriented research and exploration in the public interest. We aim for OpenDP to flexibly grow with the rapidly advancing science of differential privacy, and be a pathway to bring the newest algorithmic developments to a wide array of practitioners. SmartNoise is a collaboration between Microsoft, Harvard’s Institute for Quantitative Social Science (IQSS), and the OpenDP Project. The project aims to connect solutions from the research community with the lessons learned from real-world deployments to make differential privacy broadly accessible. Building upon the foundation of the OpenDP Library, the SmartNoise SDK includes two Python packages: smartnoise-sql and smartnoise-synth. | |
Разместил: Ingvar16 10-06-2024, 03:39 | Комментарии: 0 | Подробнее
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