Boosting Software Development Using Machine Learning

DOWNLOAD

Download Boosting Software Development Using Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Boosting Software Development Using Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Boosting Software Development Using Machine Learning

DOWNLOAD
Author : Tirimula Rao Benala
language : en
Publisher: Springer Nature
Release Date : 2025-05-23

Boosting Software Development Using Machine Learning written by Tirimula Rao Benala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.

This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications. This book incorporates data-driven strategies across the entire software development life cycle, from requirements elicitation and design to coding, testing, and deployment. It illustrates the evolution from traditional frameworks to agile and DevOps methodologies. The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection. These techniques have significantly improved software development efficiency, predictability, and project management effectiveness. While remarkable progress has been made, much remains to be done in this evolving area. This edited book is a timely effort toward advancing the field and promoting interdisciplinary collaboration in addressing ethical, security, and technical challenges.

Nonlinear Estimation And Classification

DOWNLOAD
Author : David D. Denison
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Nonlinear Estimation And Classification written by David D. Denison and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.

Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.

Machine Learning Applications In Software Engineering

DOWNLOAD
Author : Du Zhang
language : en
Publisher: World Scientific
Release Date : 2005

Machine Learning Applications In Software Engineering written by Du Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.

A collection of previously published articles from a variety of publications.

Machine Learning

DOWNLOAD
Author : Akshay B R
language : en
Publisher: CRC Press
Release Date : 2024-07-15

Machine Learning written by Akshay B R and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Computers categories.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.

Deep Learning For Coders With Fastai And Pytorch

DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Ai Frameworks And Tools For Software Development

DOWNLOAD
Author : Patel, Rahul K.
language : en
Publisher: IGI Global
Release Date : 2025-04-29

Ai Frameworks And Tools For Software Development written by Patel, Rahul K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.

The rapid advancements in artificial intelligence (AI) are transforming how organizations approach software development, creating both opportunities and challenges in the workplace. As AI tools become more mainstream, understanding their role, as well as the responsibilities of users, is crucial for ensuring their effective integration into software development processes. A clear framework for introducing AI in Information Systems Management can significantly enhance the efficiency and effectiveness of development teams and their external stakeholders. AI Frameworks and Tools for Software Development presents the best practices, research findings, and guidelines for using AI frameworks and tools in software development. It provides a holistic understanding of these key processes, functions, and workflows that are essential for effective Software Development Lifecycle (SDLC). Covering topics such as industrial automation, knowledge management, and code reusability, this book is an excellent resource for software developers, computer scientists, professionals, researchers, scholars, academicians, and more.

Research Anthology On Agile Software Software Development And Testing

DOWNLOAD
Author : Information Resources Management Association
language : en
Publisher: Engineering Science Reference
Release Date : 2022

Research Anthology On Agile Software Software Development And Testing written by Information Resources Management Association and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Agile software development categories.

Software development continues to be an ever-evolving field as organizations require new and innovative programs that can be implemented to make processes more efficient, productive, and cost-effective. Agile practices particularly have shown great benefits for improving the effectiveness of software development and its maintenance due to their ability to adapt to change. It is integral to remain up to date with the most emerging tactics and techniques involved in the development of new and innovative software. The Research Anthology on Agile Software, Software Development, and Testing is a comprehensive resource on the emerging trends of software development and testing. This text discusses the newest developments in agile software and its usage spanning multiple industries. Featuring a collection of insights from diverse authors, this research anthology offers international perspectives on agile software. Covering topics such as global software engineering, knowledge management, and product development, this comprehensive resource is valuable to software developers, software engineers, computer engineers, IT directors, students, managers, faculty, researchers, and academicians.

The Fundamental Research For Trustworthy Software

DOWNLOAD
Author : Jifeng He
language : en
Publisher: Springer Nature
Release Date : 2023-11-23

The Fundamental Research For Trustworthy Software written by Jifeng He and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Computers categories.

This book mainly introduces the research overview, results, and achievements of “The Fundamental Research for Trustworthy Software”, a major research plan of NSFC. The Plan focuses on four key scientific issues: (i) measurement and modeling of software trustworthiness; (ii) construction and verification of trustworthy software; (iii) evolution and control of trustworthy software; (iv) trusted environment construction and evaluation. This book aims to establish a research framework for fundamental research on trustworthy software by focusing on the trustworthiness of embedded software and network application software, as well as the trustworthiness of software in key application fields in China. This book is intended for researchers who have been following the evolution of and trends in the trustworthy software; the book is also a valuable reference resource for practitioners and scholars at various levels and in various fields.

Proceedings Of The International Conference On Advancements In Computing Technologies And Artificial Intelligence Computatia 2025

DOWNLOAD
Author : Narayan Vyas
language : en
Publisher: Springer Nature
Release Date : 2025-05-20

Proceedings Of The International Conference On Advancements In Computing Technologies And Artificial Intelligence Computatia 2025 written by Narayan Vyas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.

This open access volume presents select proceedings of International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025). It emphasize on the importance of data intensive applications that are increasing and will continue to be the foremost fields of research. The volumes covers many research issues, such as forms of capturing and accessing data effectively and fast, processing complexity, scalability, privacy leaking and trust; innovative models, scalable computing platforms, efficient storage management, data modeling and their security aspects.

International Conference On Innovative Computing And Communications

DOWNLOAD
Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2023-07-25

International Conference On Innovative Computing And Communications written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.

This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17–18, 2023. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.