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Название: Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning, 2nd Edition
Автор: Fabrizio Riguzzi
Издательство: River Publishers
Серия: River Publishers Series in Software Engineering
Год: 2023
Страниц: 548
Язык: английский
Формат: pdf (true)
Размер: 34.7 MB

The computational foundations of Artificial Intelligence (AI) are supported by two comer stones: logics and Machine Leaming. Computationallogic has found its realization in a number of frameworks for logic-based approaches to knowledge representation and automated reasoning, such as Logic Program­ ming, Answer Set Programming, Constraint Logic Programming, Descrip­tion Logics, and Temporal Logics. Machine Leaming, and its recent evolution to Deep Leaming, has a huge number of applications in video surveillance, social media services, Big Data analysis, weather predictions, spam filtering, online customer support, etc. Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. The intended audience of the book are researchers in Computer Science and AI that want to getan overview of PLP. However, it can also be used by students, especially graduate, to get acquainted with the topic, and by practitioners that would like to get more details on the inner workings of methods.

Название: The fundamentals of algorithmic processes
Автор: Sourabh Pal
Издательство: Arcler Press
Год: 2023
Страниц: 271
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book focuses on the creative elements of algorithmic design by delving into the phases involved in algorithm creation. The conceptual underpinnings of this creative process are analogous to the invention and development of mathematical theorems that result in the induction of combinatorial algorithms. Numerous issue examples are included in the book. It is intended to enhance readers' problem-solving abilities by imparting a grasp of the fundamental ideas behind algorithmic design. This book summarizes the most widely used computer algorithms and provides a comprehensive overview of algorithms and data structures for searching, sorting, and graph processing. The algorithms presented in this book represent a body of knowledge that has developed over the previous five decades and has become critical not just for professional programmers and computer scientists, but also for all students interested in mathematics, data science, and engineering. The reader of this book is meant to get knowledge about known ways for successfully resolving difficulties. They will become acquainted with various cutting-edge data structures and novel methods for utilizing data structures to improve the efficacy of algorithms. Because the book is virtually self-contained, it may be used as a course book, reference book, or self-study resource. This book provides a comprehensive summary of contemporary research on computer algorithms. The book contains a detailed discussion of several sorts of computer algorithms. The information on algorithm creation and analysis is meant for a broad audience. A fundamental understanding of programming languages and mathematics are required to conduct algorithmic analysis.

Название: Concurrent, parallel and distributed computing
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2023
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book "Concurrent, Parallel, and Distributed Computing" offers an excellent overview of the various areas of the computing field. There is a lot of overlap between the words "concurrent computing," "parallel computing," and "distributed computing," and there is no obvious differentiation between them. The same system can be described as "parallel" and "distributed"; in a typical distributed system, the processors run concurrently in parallel.The content in the book is presented in such a way that even a reader with no prior knowledge of computers may understand it and become acquainted with the fundamental concepts of computing. It offers numerous small examples, demonstration materials, and sample exercises that teachers can use to teach parallel programming principles to students who have just recently been introduced to basic programming concepts. It focuses on Python multiprocessing features like fork/join threading, message passing, sharing resources between threads, and using locks. Parallelism's utility can be seen in applications like searching, sorting, and simulations. Students and researchers can get an accessible and comprehensive explanation of the concepts, guidelines, and, in particular, the complex instrumentation techniques used in computing.

Название: Data Structure and Algorithm
Автор: Nikhat Raza Khan, Manmohan Singh, Piyush Kumar
Издательство: Arcler Press
Год: 2023
Страниц: 342
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

Data structure and algorithms are two of the most important aspects of Computer science. Data structure and algorithms help in understanding the nature of the problem at a deeper level and thereby a better understanding of the world. Learning data structure and algorithms will help you become a better programmer. This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, which makes their design and analysis accessible to all levels of readers. This book provides with an enjoyable introduction to the field of algorithms. This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, which makes their design and analysis accessible to all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or accuracy. Each chapter presents an algorithm, a design technique, an application area, or a related topic. Algorithms are described in English and in a “pseudocode” designed to be readable by anyone who has done a little programming. The book contains over 300 pages with facts and figures illustrating how the algorithms work. Since we emphasize efficiency as a design criterion, we include careful analyzes of the running times of all our algorithms. Since we emphasize efficiency as a design criterion, we include careful analyzes of the running times of all our algorithms.

Название: Rise of Generative AI and ChatGPT: Understand how Generative AI and ChatGPT are transforming and reshaping the business world
Автор: Utpal Chakraborty, Soumyadeep Roy, Sumit Kumar
Издательство: BPB Publications
Год: 2023
Страниц: 290
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you. This book gives a comprehensive overview of Generative AI and ChatGPT, the cutting-edge technologies that have gained significant attention in recent times. The book aims to provide a thorough understanding of these technologies, architectures, and training methods, including their background, development process, and current state. The book helps discover innovative ways in which these technologies have been implemented to achieve measurable benefits, including improved efficiency, customer satisfaction, security, and revenue growth and its potential application across different industries and use cases.

Название: Optimization for Learning and Control
Автор: Martin Andersen, Anders Hansson
Издательство: Wiley
Год: 2023
Страниц: 435
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Optimization for Learning and Control Comprehensive resource providing a masters’ level introduction to optimization theory and algorithms for learning and control. Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both Unsupervised Learning, Supervised Learning, and Reinforcement Learning, with an emphasis on optimization methods for large-scale learning and control problems. Several applications areas are also discussed, including signal processing, system identification, optimal control, and Machine Learning. Today, most of the material on the optimization aspects of Deep Learning that is accessible for students at a Masters’ level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters’ students in a coherent way. The focus is on basic algorithmic principles and trade-offs.

Название: The Async-First Playbook: Remote Collaboration Techniques for Agile Software Teams (Early Release)
Автор: Sumeet Gayathri Moghe
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 106
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Remote software development work is the "new normal" and that won't change anytime soon. But conventional distributed agile software development attempts to be too "synchronous" to support today's remote teams. Too many meetings, ceremonies, and rituals quickly become unsustainable when teams are spread across multiple time zones. The result: burnout, constant interruptions, poor work-life balance, greater frustration, and workplaces where few people can truly thrive. In The Async-First Playbook, Thoughtworks principal project manager Sumeet Gayathri Moghe addresses the problem head-on, revamping agile to embed remote-native, asynchronous work practices that fit the realities of remote development.

Название: Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Early Release)
Автор: Michael Hartl
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 448
Язык: английский
Формат: epub
Размер: 16.9 MB

All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python. Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and Data Science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don't care about.

Название: 2D Computer Graphics in modern C++ and standard library
Автор: Hakan Blomqvist
Издательство: Leanpub
Год: 2023-05-14
Страниц: 465
Язык: английский
Формат: pdf (true) + Extras
Размер: 84.5 MB

This book focuses on simplifying graphics creation in standard C++. It solves common challenges like handling image files and testing animation sprites. Addressing fundamental questions on drawing pixels, lines, and circles enables easier graphic creation for presentations, collaborations, and investigations. We have all been there when you just want to present som data in a nice and graphical way. You start by implementing a GUI library so that you can set up a canvas to draw on… but then what? Or you download and build a library that can handle reading and writing PNG images, as you need lossless images. Or you do the same just to find out a files entropy. Or you’re coding on a game and want to test the look of animation sprites in a parallax setting. What ever the reason is… it’s too complicated to do and takes more time than you would consider doing. So no presentation, no collaboration, and no investigation using graphics. It should just be easy to create graphics in standard C++. And this book is all about that. How do we draw a pixel, a line, or a circle? That is questions we going to answer.

Название: Applications of Machine Learning in Digital Healthcare
Автор: Miguel Hernandez Silveira, Su-Shin Ang
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 27.7 MB

Machine Learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use. This edited book focuses on the applications of Machine Learning (ML) in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis. Written by an international team of experts, the book presents several applications of Machine Learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing.