Practical Synthetic Data Generation
DOWNLOAD
Download Practical Synthetic Data Generation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Practical Synthetic Data Generation 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
Practical Synthetic Data Generation
DOWNLOAD
Author : Khaled El Emam
language : en
Publisher: O'Reilly Media
Release Date : 2020-05-31
Practical Synthetic Data Generation written by Khaled El Emam 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 2020-05-31 with Computers categories.
One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data-fake data generated from real data-that can provide secondary analytics to help you understand customer behaviors, develop new products, or generate new revenue. CTOs, CIOs, and directors of analytics will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps of synthetic data generation from real data sets. Business leaders will examine how synthetic data can help accelerate time to a solution.
Practical Synthetic Data Generation
DOWNLOAD
Author : Khaled El Emam
language : en
Publisher: O'Reilly Media
Release Date : 2020-05-19
Practical Synthetic Data Generation written by Khaled El Emam 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 2020-05-19 with Computers categories.
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue. Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes: Steps for generating synthetic data using multivariate normal distributions Methods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationships Multiple approaches and metrics you can use to assess data utility How analysis performed on real data can be replicated with synthetic data Privacy implications of synthetic data and methods to assess identity disclosure
Synthetic Data Generation
DOWNLOAD
Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-27
Synthetic Data Generation written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-27 with Computers categories.
"Synthetic Data Generation: A Beginner’s Guide" offers an insightful exploration into the emerging field of synthetic data, essential for anyone navigating the complexities of data science, artificial intelligence, and technology innovation. This comprehensive guide demystifies synthetic data, presenting a detailed examination of its core principles, techniques, and prospective applications across diverse industries. Designed with accessibility in mind, it equips beginners and seasoned practitioners alike with the necessary knowledge to leverage synthetic data's potential effectively. Delving into the nuances of data sources, generation techniques, and evaluation metrics, this book serves as a practical roadmap for mastering synthetic data. Readers will gain a robust understanding of the advantages and limitations, ethical considerations, and privacy concerns associated with synthetic data usage. Through real-world examples and industry insights, the guide illuminates the transformative role of synthetic data in enhancing innovation while safeguarding privacy. With an eye on both present applications and future trends, "Synthetic Data Generation: A Beginner’s Guide" prepares readers to engage with the evolving challenges and opportunities in data-centric fields. Whether for academic enrichment, professional development, or as a primer for new data enthusiasts, this book stands as an essential resource in understanding and implementing synthetic data solutions.
Natural Language Processing And Chinese Computing
DOWNLOAD
Author : Xian-Ling Mao
language : en
Publisher: Springer Nature
Release Date : 2025-11-22
Natural Language Processing And Chinese Computing written by Xian-Ling Mao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-22 with Computers categories.
The four-volume set LNAI 16102 - 16105 constitutes the refereed proceedings of the 14th CCF National Conference on Natural Language Processing and Chinese Computing, NLPCC 2025, held in Urumqi, China, during August 7–9, 2025. The 152 full papers and 26 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 505 submissions. They were focused on the following topical sections: Part I : Information Extraction and Knowledge Graph & Large Language Models and Agents. Part II : Multimodality and Explainability & NLP Applications / Text Mining. Part III : IR / Dialogue Systems / Question Answering; Machine Translation and Multilinguality & Sentiment analysis / Argumentation Mining / Social Media. Part IV : Machine Learning for NLP; Fundamentals of NLP; Summarization and Generation; Others & Evaluation Workshop.
Synthetic Data For Machine Learning
DOWNLOAD
Author : Abdulrahman Kerim
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-27
Synthetic Data For Machine Learning written by Abdulrahman Kerim and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-27 with Computers categories.
Conquer data hurdles, supercharge your ML journey, and become a leader in your field with synthetic data generation techniques, best practices, and case studies Key Features Avoid common data issues by identifying and solving them using synthetic data-based solutions Master synthetic data generation approaches to prepare for the future of machine learning Enhance performance, reduce budget, and stand out from competitors using synthetic data Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges. This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data. By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.What you will learn Understand real data problems, limitations, drawbacks, and pitfalls Harness the potential of synthetic data for data-hungry ML models Discover state-of-the-art synthetic data generation approaches and solutions Uncover synthetic data potential by working on diverse case studies Understand synthetic data challenges and emerging research topics Apply synthetic data to your ML projects successfully Who this book is forIf you are a machine learning (ML) practitioner or researcher who wants to overcome data problems, this book is for you. Basic knowledge of ML and Python programming is required. The book is one of the pioneer works on the subject, providing leading-edge support for ML engineers, researchers, companies, and decision makers.
Synthetic Data For Deep Learning
DOWNLOAD
Author : Necmi Gürsakal
language : en
Publisher: Apress
Release Date : 2022-11-16
Synthetic Data For Deep Learning written by Necmi Gürsakal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-16 with Computers categories.
Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That’s where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect. Synthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision. You’ll gain insight into how synthetic data can be used to study the benefits of autonomous driving systems and to make accurate predictions about real-world data. You’ll work through practical examples of synthetic data generation using Python and R, placing its purpose and methods in a real-world context. Generative Adversarial Networks (GANs) are also covered in detail, explaining how they work and their potential applications. After completing this book, you’ll have the knowledge necessary to generate and use synthetic data to enhance your corporate, scientific, or governmental decision making. What You Will Learn Create synthetic tabular data with R and Python Understand how synthetic data is important for artificial neural networks Master the benefits and challenges of synthetic data Understand concepts such as domain randomization and domain adaptation related to synthetic data generation Who This Book Is For Those who want to learn about synthetic data and its applications, especially professionals working in the field of machine learning and computer vision. This book will also be useful for graduate and doctoral students interested in this subject.
Transportation Research Record
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1974
Transportation Research Record written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Air travel categories.
"For more than 50 years, the Transportation Research Record has been internationally recognized as one of the preeminent peer-reviewed journals for transportation research papers from authors in the United States and from around the world. One of the most cited transportation journals, the TRR offers unparalleled depth and breadth in the coverage of transportation topics from both academic and practitioner perspectives. All modes of passenger and freight transportation are addressed in papers covering a wide array of disciplines, including policy, planning, administration, economics and financing, operations, construction, design, maintenance, safety, and more."--Publisher's website
Practical Approach To Pattern Classification
DOWNLOAD
Author : Bruce Batchelor
language : en
Publisher: Springer
Release Date : 1974-11
Practical Approach To Pattern Classification written by Bruce Batchelor and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974-11 with Reference categories.
Manual Of British Water Engineering Practice Engineering Practice
DOWNLOAD
Author : Institution of Water Engineers
language : en
Publisher:
Release Date : 1969
Manual Of British Water Engineering Practice Engineering Practice written by Institution of Water Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Microelectronics categories.
Conference On Household Travel Surveys New Concepts And Research Needs
DOWNLOAD
Author :
language : en
Publisher: Transportation Research Board
Release Date : 1996
Conference On Household Travel Surveys New Concepts And Research Needs written by and has been published by Transportation Research Board this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Household surveys categories.
The following papers were presented at this conference: Household travel surveys: New concepts and research needs (Stopher, PR); Household travel surveys: Cutting-edge concepts for the next century (Stopher, PR); Nonresponse issues in household trave surveys (Richardson, AJ, Ampt, ES and Meyburg, AH); Scope and potential of interactive stated response data collection methods (Lee-Gosselin, MEH); Resource paper for survey methodologies workshop (Lawton, TK and Pas, EI); Travel behavior survey data collection instruments (Stechner, CC, Bricka, S and Goldenberg, L); New technologies for household travel surveys (Sarasua, WA and Meyer, MD).