Description: Synthetic Data for Machine Learning by Abdulrahman Kerim Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Machine learning is rapidly transitioning to synthetic data solutions, yet comprehensive resources to understand its uses are scarce. Publisher Description Conquer data hurdles, supercharge your ML journey, and become a leader in your field with synthetic data generation techniques, best practices, and case studiesKey FeaturesAvoid common data issues by identifying and solving them using synthetic data-based solutionsMaster synthetic data generation approaches to prepare for the future of machine learningEnhance performance, reduce budget, and stand out from competitors using synthetic dataPurchase of the print or Kindle book includes a free PDF eBookBook 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. Youll 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, youll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, youll 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 learnUnderstand real data problems, limitations, drawbacks, and pitfallsHarness the potential of synthetic data for data-hungry ML modelsDiscover state-of-the-art synthetic data generation approaches and solutionsUncover synthetic data potential by working on diverse case studiesUnderstand synthetic data challenges and emerging research topicsApply synthetic data to your ML projects successfullyWho 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. Author Biography Abdulrahman Kerim is a full-time lecturer at UCA and an active researcher at the School of Computing and Communications at Lancaster University, UK. Kerim has an MSc in Computer Engineering with a focus on developing a simulator for computer vision problems. In 2020, Kerim commenced his PhD to investigate synthetic data advantages and potentials. His research on developing novel synthetic-aware computer vision models has been recognized internationally. He published several papers on the usability of synthetic data at top-tier conferences and journals, such as BMVC and IMAVIS. He is currently working with researchers from Google and Microsoft to overcome real-data issues specifically for video stabilization and semantic segmentation tasks. Details ISBN 1803245409 ISBN-13 9781803245409 Title Synthetic Data for Machine Learning Author Abdulrahman Kerim Format Paperback Year 2023 Pages 208 Publisher Packt Publishing Limited GE_Item_ID:151547348; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 63.28 USD
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End Time: 2024-07-30T03:07:36.000Z
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ISBN-13: 9781803245409
Book Title: Synthetic Data for Machine Learning
Number of Pages: 206 Pages
Language: English
Publication Name: Synthetic Data for Machine Learning : Revolutionize Your Approach to Machine Learning with This Comprehensive Conceptual Guide
Publisher: Packt Publishing, The Limited
Publication Year: 2023
Subject: Computer Science, General
Type: Textbook
Subject Area: Computers, Mathematics
Author: Abdulrahman Kerim
Item Length: 92.5 in
Item Width: 75 in
Format: Trade Paperback