--- title: "Using machine learning to detect fraud, featuring Stephen Whitworth" date: 2018-02-01T16:02:00+00:00 author: Alara Basul canonical_url: "https://www.ravelin.com/podcast/stephen-whitworth-on-using-machine-learning-for-fraud-detection" section: Podcast --- Podcast / Machine learning & AI Episode 17 01 February 2018 # Using machine learning to detect fraud, featuring Stephen Whitworth Ravelin’s senior data scientist explains the basics of machine learning and dives deep into what features, scores, and models are. ![Using machine learning to detect fraud, featuring Stephen Whitworth](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_750xAUTO_fit_center-center_none_ns/1656/IMG_9078.webp)Ravelin requires significant amounts of data from clients in order to provide the predictions as to which transactions are likely to result in chargebacks. In return, it is our commitment to our clients to use that data to the utmost degree in our [machine learning for fraud detection](https://www.ravelin.com/insights/machine-learning-for-fraud-detection), ensuring that we extract the most information possible to ensure we get the most predictions right. It’s not perfect; perfection is an illusion in fraud detection. It is, however, optimal based on the premise that any online business wants to accept as many good transactions as possible. In this podcast, Stephen Whitworth, Senior Data Engineer at Ravelin explains the basics of machine learning and discusses features, scores, and models. ![Ravelin Logo](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/ravelin-symbol-logo-transparent.webp) ## Stay up to speed Get the latest reports, analysis and advice on fraud, payments and growing securely online in your inbox. Subscribe ![Afk Bu I 400X400](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_122x122_crop_center-center_none_ns/851/afk_Bu-i_400x400.webp)Alara BasulRavelin alumna More from Alara Basul - [Infographic: The growing cost of fraud in 2018](https://www.ravelin.com/blog/infographic-fraud-in-2018) - [Meet Tim Whelan, Ravelin’s VP of Engineering](https://www.ravelin.com/blog/meet-tim-whelan-ravelins-vp-of-engineering) - [National Cybersecurity month: Raising awareness of fraud in payments](https://www.ravelin.com/blog/cyber-security-month-fraud-awareness) ## Related content [Blog / Payments & payment fraud ### Card payment liability shift – everything you need to know to reduce chargeback burden The knowledge you need to make the most of liability shifts and reap the benefits for your company – including saving money on chargebacks. ![Freddie burgess](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/281707/freddie-burgess.webp)Freddie Burgess,Senior Product Support Analyst](https://www.ravelin.com/blog/card-payment-liability-shift-for-chargebacks) [Blog / Fraud analytics ### Refund abuse KPIs: How to measure and reduce refund fraud rates What you need to know to assess and quantify refund abuse – as well as to measure whether your refund abuse solution and strategy are delivering results. ![Can](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/280078/can.webp)Can Colak,Senior Product Manager](https://www.ravelin.com/blog/how-to-measure-refund-abuse-kpis) [Blog / Press release ### Driven by AI, customers now rival criminals for ecommerce fraud, say merchants Global ecommerce fraud enters a new phase as losses continue to climb. Merchants now view criminals and their own customers as presenting a comparable risk, and there's a gap in AI adoption. ![Ravelin Symbol Blue 1](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/187712/Ravelin-Symbol-Blue-1.webp)Ravelin Technology](https://www.ravelin.com/blog/ravelin-fraud-survey-2026-press-release)