• All
  • Cloud
    • Solutions
    • Virtualization
  • Data
    • Analytics
    • Big Data
    • Customer Data Platform
  • Digital
    • Digital Marketing
    • Social Media Marketing
  • Finance
    • Risk & Compliance
  • Human Resources
    • HR Solutions
    • Talent Management
  • IT Infra
    • App Management Solutions
    • Best Practices
    • Datacenter Solutions
    • Infra Solutions
    • Networking
    • Storage
    • Unified Communication
  • Mobility
  • Sales & Marketing
    • Customer Relationship Management
    • Sales Enablement
  • Security
  • Tech
    • Artificial Intelligence
    • Augmented Reality
    • Blockchain
    • Chatbots
    • Internet of Things
    • Machine Learning
    • Virtual Reality
  • All
  • Cloud
    • Solutions
    • Virtualization
  • Data
    • Analytics
    • Big Data
    • Customer Data Platform
  • Digital
    • Digital Marketing
    • Social Media Marketing
  • Finance
    • Cost Management
    • Risk & Compliance
  • Human Resources
    • HR Solutions
    • Talent Management
  • IT Infra
    • App Management Solutions
    • Best Practices
    • Datacenter Solutions
    • Infra Solutions
    • Networking
    • Storage
    • Unified Communication
  • Mobility
  • Sales & Marketing
    • Customer Relationship Management
    • Sales Enablement
  • Security
  • Tech
    • Artificial Intelligence
    • Augmented Reality
    • Blockchain
    • Chatbots
    • Internet of Things
    • Machine Learning
    • Virtual Reality
The Cost of a False Positive

The Cost of a False Positive

Samasource
Published by: Research Desk Released: Mar 06, 2020

We all know false positives in machine learning can be costly. And while we also know that high quality data is imperative to the success of your algorithm, in some cases, data quality is even more critical than others. For example, a false positive in an autonomous vehicle or biomedical algorithm could mean life or death, however, in the case of an e-commerce chatbot, it may just result in poor customer service. Since the weight and severity of a false positive differs across verticals, it’s important to define the level of data quality and domain expertise needed to train your algorithm, as a part of your training data strategy.

Welcome Dear

Thank you for your interest and your registration with Teradata. Please confirm your e-mail address to complete your registration by clicking here

Yes, confirm my

By confirming this, you give Teradata your consent to send you information on our data analytics products and services or invitations to events and webinars by e-mail from time to time. You can revoke this consent at any time by clicking on the unsubscribe link at the bottom of each of our e-mails. We assure you that we treat your contact details with the utmost care. Detailed information on how we store and use your personal data or how you can exercise your rights regarding your personal data can be found in the global Teradata Privacy Policy.