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Condition: Good. All orders ship by next business day! This is a used paperback book. Has moderate wear on cover and/or pages. Has no markings on pages. Spine has been opened/creased. Front cover has crease(s). For USED books, we cannot guarantee supplemental materials such as CDs, DVDs, access codes and other materials. We are a small company and very thankful for your business!
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Paperback or Softback. Condition: New. Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence 1.01. Book.
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International Edition
Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence
ISBN 10: 1484284054 ISBN 13: 9781484284056
Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence
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Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence
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Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence
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Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence
ISBN 10: 1484284054 ISBN 13: 9781484284056
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings.Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization.What You Will LearnUnderstand the role of auditors as trusted advisorsPerform exploratory data analysis to gain a deeper understanding of your organizationBuild machine learning predictive models that detect fraudulent vendor payments and expensesIntegrate data analytics with existing and new technologiesLeverage storytelling to communicate and validate your findings effectivelyApply practical implementation use cases within your organizationWho This Book Is ForAI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.
