MLSEV Virtual. Fraud in a Digital Environment

•

0 recomendaciones•257 vistas

Fraud in a Digital Environment or "PsychTech”, by Michael Skiba, also known as Dr. Fraud ®. *MLSEV 2020: Virtual Conference.

Datos y análisis

MLSEV Virtual. Fraud in a Digital Environment

Más contenido relacionado

Más de BigML, Inc

DutchMLSchool 2022 - A Data-Driven Company

BigML, Inc

DutchMLSchool 2022 - ML in the Legal Sector

BigML, Inc

DutchMLSchool 2022 - Smart Safe Stadiums

BigML, Inc

DutchMLSchool 2022 - Process Optimization in Manufacturing Plants

BigML, Inc

DutchMLSchool 2022 - Anomaly Detection at Scale

BigML, Inc

DutchMLSchool 2022 - Citizen Development in AI

BigML, Inc

This new feature is a continuation of and improvement on our previous Image Processing release. Now, Object Detection lets you go a step further with your image data and allows you to locate objects and annotate regions in your images. Once your image regions are defined, you can train and evaluate Object Detection models, make predictions with them, and automate end-to-end Machine Learning workflows on a single platform. To make that possible, BigML enables Object Detection by introducing the regions optype. As with any other BigML feature, Object Detection is available from the BigML Dashboard, API, and WhizzML for automation. Object Detection is extremely helpful to tackle a wide range of computer vision use cases such as medical image analysis, quality control in manufacturing, license plate recognition in transportation, people detection in security surveillance, among many others.

Democratizing Object Detection

BigML, Inc

This new release brings Image Processing to the BigML platform, a feature that enhances our offering to solve image data-driven business problems with remarkable ease of use. Because BigML treats images as any other data type, this unique implementation allows you to easily use image data alongside text, categorical, numeric, date-time, and items data types as input to create any Machine Learning model available in our platform, both supervised and unsupervised. Now, it is easier than ever to solve a wide variety of computer vision and image classification use cases in a single platform: label your image data, train and evaluate your models, make predictions, and automate your end-to-end Machine Learning workflows. As with any other BigML feature, Image Processing is available from the BigML Dashboard, API, and WhizzML, and it can be applied to solve use cases such as medical image analysis, visual product search, security surveillance, and vehicle damage detection, among others.

BigML Release: Image Processing

BigML, Inc

Machine Learning in Retail: Know Your Customers' Customer. See Your Future

BigML, Inc

Machine Learning in Retail: ML in the Retail Sector

BigML, Inc

ML in GRC: Machine Learning in Legal Automation, How to Trust a Lawyerbot

BigML, Inc

ML in GRC: Supporting Human Decision Making for Regulatory Adherence with Mac...

BigML, Inc

ML in GRC: Cybersecurity versus Governance, Risk Management, and Compliance

BigML, Inc

Intelligent Mobility: Machine Learning in the Mobility Industry

BigML, Inc

Intelligent Mobility: Embedded Machine Learning, Damage Detection in Rail

BigML, Inc

Intelligent Mobility: Business Value of IoT and ML in Logistics

BigML, Inc

Intelligent Mobility: The Added Value of Predictions for Transport Delivery

BigML, Inc

Intelligent Mobility: From Last Mile to Long Distance Route Optimization

BigML, Inc

Intelligent Mobility: Route to the Electric Future

BigML, Inc

Intelligent Mobility: Transforming Road Operations and Mobility with Computer...

BigML, Inc

Más de BigML, Inc (20)