Bank Transaction Fraud Detection with Data Science - Fraud Detection Using Machine Learning
Learn effective data science techniques for detecting bank transaction fraud using machine learning, decision trees, and anomaly detection. Gain practical insights through real-world case studies and hands-on guidance.
Data Engineering for Streamlining the Data Science Developer Experience - DE4AI
Explore the challenges and solutions in data engineering for optimizing the data science developer experience in this 12-minute talk by Aishwarya Joshi from Chime. Discover how to enable efficient feature engineering and deployment for low-latency infere…
Learning from Extremes: What Fraud-Fighting at Scale Can Teach Us About MLOps Across Domains
Explore how anti-fraud MLOps practices can simplify architectures, enhance observability, and boost agility across various ML domains.
Low-latency Model Inference in Finance - A Close Look at Seldon V2
Explore low-latency model inference in finance using Seldon V2, focusing on high resilience and rapid service response for critical business applications.
Defending Against Decision Degradation with Full Spectrum Model Monitoring - Case Study and AMA
Explore Lyft's comprehensive ML model monitoring system, preventing degradation in high-stakes decisions for pricing, safety, and fraud detection. Learn about real-time validation and cultural shifts in ML practices.
Exploring the Impact of Agentic Workflows - MLOps Podcast Episode 268
Dive into the world of AI agents in production with insights on deployment strategies, real-world applications, and practical advice for integrating AI into everyday systems while maintaining human oversight.
AI in Detecting Fraudulent Payments from Social Engineering
Explore AI's role in combating fraudulent payments from social engineering in fintech, covering phishing detection, identity theft prevention, and emerging threats like deepfakes.
Logistic Regression and Naive Bayes in Machine Learning - Machine Learning Tutorial - Great Learning
Comprehensive tutorial on Logistic Regression and Naive Bayes, covering theory and practical applications in fraud detection and diabetes prediction. Includes machine learning basics and hands-on demos.
Financial Analytics with Python in Hindi - How to Build Financial Models with Python
वित्तीय संस्थानों में जोखिम विश्लेषण और भविष्यवाणी के लिए पायथन का उपयोग सीखें। बाजार जोखिम, क्रेडिट जोखिम और धोखाधड़ी की रोकथाम पर ध्यान केंद्रित करें।
Analysis of Smart Contract Scams - Blockchain Security
Explora técnicas para detectar y analizar estafas en contratos inteligentes de blockchain, utilizando herramientas como PoorSKeme para visualización y análisis temprano de amenazas potenciales.
Cost-Sensitive Learning for Fraud Detection
Aprenda técnicas avanzadas de aprendizaje sensible al costo para mejorar la detección de fraudes con el Ph.D. Tim Verdonck.
Usage of Behavioral Biometric Technologies to Defend Against Bots
Explore frictionless authentication using behavioral biometrics to combat sophisticated bot attacks and account takeovers, with insights on implementation, machine learning, and creating a zero-trust environment.
2FA-Enabled Fraud: Dissecting Operation High Roller - Lecture 3.1.1
Dissecting Operation High Roller: Insights into sophisticated 2FA-enabled fraud techniques and their implications for cybersecurity professionals.
Devil in the Haystack - Application Security Through Statistical Analysis and Machine Learning
Exploring statistical and machine learning techniques for in-app security at Salesforce. Focuses on adaptive, data-driven approaches for detecting and preventing attacks and abuses on the platform.
Scientific Integrity Verification Through Image Forensics
Explore image forensics techniques for verifying scientific integrity, uncovering manipulations, and ensuring research authenticity in academic publications.
Safeguarding Platforms: Detecting Abusive Behavior Patterns
Discover strategies to combat digital threats and protect platforms from automated abuse. Learn innovative anti-abuse techniques used by tech giants to safeguard valuable data and enhance cybersecurity measures.
How a Data Scientist Fights Fraud - With Code!
Explore data science techniques for fraud detection, including feature engineering, SQL querying, model creation, evaluation, and interpretation, with hands-on coding examples.
Real-Time Analytics of Customer Financial Activities with Apache Flink
Explore real-time analytics for financial activities using Apache Flink. Learn about Capital One's approach to processing customer data, event-time processing, and applications in fraud detection.
Creating an Open Source Fraud Risk Management System to Close the Financial Inclusion Gap
Explore open-source fraud risk management for financial inclusion. Learn about Mojaloop's real-time payment system and Actio's transactional monitoring to enhance digital public goods.
Combatting Human Trafficking with Anomaly Detection - Part 1
Explore anomaly detection techniques to combat human trafficking through financial data analysis. Learn to leverage transaction patterns and industry indicators for effective detection.
AI and Digital Revolution in Banking - Transforming Financial Services
Explore how AI is revolutionizing banking through intelligent algorithms, automated processes, and enhanced customer experiences, from chatbots to fraud detection systems.