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Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
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Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)
商品＃: 54334769

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)

89% of respondents would recommend this to a friend

商品＃: 54334769

TWD 2195

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What Stands Out

Practical Guidance
This book provides actionable insights and proven methodologies for preventing fraud and complying with AML regulations, tailored specifically for fintech and eCommerce professionals.
Technical Focus
Utilizes SQL and Python for effective data analysis, allowing readers to implement advanced techniques for fraud detection, making it suitable for both beginners and experienced professionals.
Industry Relevance
Addresses real-world challenges faced by fintech and eCommerce sectors, ensuring that the content remains applicable and practical for current market needs and regulatory demands.

產品詳情

Discover effective fraud prevention techniques for Fintech and Ecommerce using SQL and Python. Get the key insights to safeguard your transactions. Visit Ubuy Taiwan.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateApril, 2022
Pages394
Reading levelProfessional & Vocational
Edition1st Edition
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Assembled product height9.13 in
Assembled product weight1.4 lb (640 grams)
Bisac subject headingComputers, Business & Economics

Who Should Buy?

Suitable For
  • Fintech Professionals

    Ideal for fintech experts looking to implement robust fraud prevention strategies using SQL and Python analytics.

  • Ecommerce Managers

    Ecommerce leaders can benefit from insights to detect and prevent fraudulent activities in online transactions effectively.

  • Data Analysts

    Data analysts focused on fraud and AML can enhance their skills by applying practical SQL and Python techniques.

Not Suitable For
  • Beginners

    Not suitable for those who lack foundational knowledge in SQL or Python, as it requires prior expertise.

產品描述

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python (Paperback)

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Gilit Saporta; Shoshana Maraney All Books Editorial Review

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and Ecommerce, Using SQL and Python offers an insightful exploration into the world of fraud prevention analytics. This non-fiction work, published by O'Reilly Media, spans 394 pages, making it ideal for professionals and vocational readers seeking to enhance their knowledge in computing and internet applications. The book deftly incorporates practical examples using SQL and Python, which are invaluable for those focused on implementing effective fraud prevention strategies in their businesses. Readers appreciate the comprehensive nature of the topics covered, making it a significant contribution to the field of fraud prevention and analytics.

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優點

  • Practical insights for fintech and ecommerce applications
  • In-depth coverage of fraud prevention techniques
  • Utilizes SQL and Python for real-world applications
  • Suitable for professional and vocational audiences
  • Published by a reputable publisher, O'Reilly Media

缺點

  • No illustrations included to enhance understanding

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立即訂購並活動它 週五, 十一月 20

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