Название: Object Oriented Modeling and Design Using UML, 2nd Edition
Автор: Ajit Singh, Anamika
Издательство: Independently published
Год: 2022
Страниц: 220
Язык: английский
Формат: epub
Размер: 10.2 MB

This book starts with requirements gathering & ends with implementation. In the process, you'll learn how to analyze and design classes, their relationships to each other in order to build a model of the problem domain. You'll also use common UML diagrams throughout this process, such as use-case, class, activity & other diagrams. This book is also suitable for use in postgraduate and graduate courses as well as in professional seminars and individual study. Because it deals primarily with a method of software development, it is most appropriate for courses in software engineering and as a supplement to courses involving specific object-oriented programming languages. The Unified Modeling Language™ (UML) is inherently object-oriented modeling language and was designed for use in object-oriented software applications. The applications could be based on the object-oriented technologies recommended by the Object Management Group (OMG), which owns the UML.

Название: Federated Learning Over Wireless Edge Networks
Автор: Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong
Издательство: Springer
Год: 2022
Страниц: 175
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and Machine Learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. The confluence of edge computing and Artificial Intelligence (AI) has driven the rise of edge intelligence, which leverages the storage, communication, and computation capabilities of end devices and edge servers to empower AI implementation at scale closer to where data is generated. An enabling technology of edge intelligence is the privacy-preserving Machine Learning (ML) paradigm known as Federated Learning (FL).

Название: Improving Classifier Generalization: Real-Time Machine Learning based Applications
Автор: Rahul Kumar Sevakula, Nishchal K. Verma
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 181
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce Deep Learning (DL) in Fuzzy Rule based classifiers (FRCs). This monograph begins with the fundamentals of classifiers, bias-variance tradeoff, statistical learning theory (SLT), probably approximate correct (PAC) framework, maximum margin classifiers, and popular methods which improve generalization like regularization, boosting, transfer learning, dropout in Deep Learning, etc. Furthermore, the monograph solves four independent problems that have great relevance for certain real-time applications.

Название: AI powered Search (MEAP V13)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2022
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 33.2 MB

AI-Powered Search teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search.

Название: Ensemble Methods for Machine Learning (MEAP 6)
Автор: Gautam Kunapuli
Издательство: Manning Publications
Год: 2022
Страниц: 320
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

In Ensemble Methods for Machine Learning you'll learn to implement the most important ensemble machine learning methods from scratch. Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results.

Название: A Functional Approach to Java: Augmenting Object-Oriented Code with Functional Principles (Fifth Early Release)
Автор: Ben Weidig
Издательство: O’Reilly Media, Inc.
Год: 2022-09-29
Страниц: 176
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.3 MB

Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. This book is for you if you are curious about functional programming and want to know what all the fuss is about and apply it to your Java code. You might already be using some functional Java types but desire a more profound knowledge of why and how to apply them more effectively. There is no need to be an expert on OOP, but the book is not a beginner’s guide to Java or OOP. You should already be familiar with the Java standard library. No prior knowledge of functional programming is required. Every concept is introduced with an explanation and examples. The book covers Java 17 as the latest Long-Term-Support (LTS) version available at publication. But knowing that many developers need to support projects with earlier versions, the baseline will be the previous LTS, Java 11.

Название: Face Analysis Under Uncontrolled Conditions: From Face Detection to Expression Recognition
Автор: Romain Belmonte, Benjamin Allaert
Издательство: Wiley-ISTE
Год: 2022
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 38.6 MB

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.Identifying the facial structure is trivial for humans. From the perspective of an algorithm, an image is represented by an array of pixels. From these pixels, the aim is to provide enough abstraction to reach a semantic level that allows facial landmarks to be retrieved. However, it is difficult for an algorithm to have this kind of high level of understanding. To overcome this semantic gap, two solutions have been proposed. The first one, the traditional approach, uses domain-specific knowledge to transform raw data into features (i.e. feature engineering). These features provide useful input for the prediction task, performed by Machine Learning (ML) algorithms.

Название: Programming and GUI Fundamentals: TCL-TK for Electronic Design Automation (EDA)
Автор: Suman Lata Tripathi, Abhishek Kumar
Издательство: Wiley-IEEE Press
Год: 2022
Страниц: 226
Язык: английский
Формат: pdf (true)
Размер: 14.5 MB

PROGRAMMING AND GUI FUNDAMENTALS Discover the foundations of TCL programming and GUI development. Programming and GUI Fundamentals: Tcl-Tk for Electronic Design Automation (EDA) , delivers a comprehensive exploration of the major design challenges and potential present in application and tool development with Tcl-Tk. Accessibly written and easy-to-understand, the book can be used by students at a variety of levels, as well as researchers and working professionals. The authors present the fundamental concepts of Tcl programming and graphic user interface (GUI) development using images, and photographs, assisting with concept understanding and retention. They describe real-time system designs and offer students and designers the opportunity to learn about critical concepts in scripting and GUI development.

Название: Code Reading in Practice: Hands-On Techniques to Understand, Refactor and Improve How You Work With Code (Early Release)
Автор: Felienne Hermans
Издательство: O’Reilly Media, Inc.
Год: 2022-09-29
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

Reading code is an essential skill, but many organizations today don't teach, practice, or even discuss it. Developers who lack the ability to read code well can't perform good code reviews, assess code quality, or decide on the use of an open source library. In two parts, this practical book helps developers become more comfortable at reading code. In the first part, you'll learn hands-on techniques for code reading, such as structural analysis, content analysis, and conceptual analysis. In part two, author Felienne Hermans from the Vrije Universiteit Amsterdam, shows you how to apply those techniques to code snippets from well-known code bases, allowing you to practice the skills you learned in part one.

Название: The Book of Dash: Build Dashboards with Python and Plotly
Автор: Adam Schroeder, Christian Mayer
Издательство: No Stach Press
Год: 2022
Страниц: 408
Язык: английский
Формат: epub
Размер: 10.2 MB

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.