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Abdulrahman Kerim Synthetic Data for Machine Learning (Paperback) (UK IMPORT)

Description: Further DetailsTitle: Synthetic Data for Machine LearningCondition: NewFormat: PaperbackRelease Date: 10/27/2023Subtitle: Revolutionize your approach to machine learning with this comprehensive conceptual guideISBN-10: 1803245409EAN: 9781803245409ISBN: 9781803245409Publisher: Packt Publishing LimitedDescription: 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. 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 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 235mmItem Length: 191mmAuthor: Abdulrahman KerimGenre: Computing & InternetType: E-businessTopic: Technology & EngineeringRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Abdulrahman Kerim Synthetic Data for Machine Learning (Paperback) (UK IMPORT)

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Release Date: 10/27/2023

Release Year: 2023

Book Title: Synthetic Data for Machine Learning

Title: Synthetic Data for Machine Learning

Subtitle: Revolutionize your approach to machine learning with this compreh

ISBN-10: 1803245409

EAN: 9781803245409

ISBN: 9781803245409

Country/Region of Manufacture: GB

Item Height: 235mm

Genre: Computing & Internet

Topic: Technology & Engineering

Number of Pages: 206 Pages

Publication Name: Synthetic Data for Machine Learning : Revolutionize Your Approach to Machine Learning with This Comprehensive Conceptual Guide

Language: English

Publisher: Packt Publishing, The Limited

Subject: Computer Science, General

Publication Year: 2023

Type: Textbook

Subject Area: Mathematics, Computers

Author: Abdulrahman Kerim

Item Length: 92.5 in

Item Width: 75 in

Format: Trade Paperback

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