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Peter Varhol

Peter Varhol
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Member for

10 years

Peter Varhol is a well-known writer and speaker on software and technology topics, having authored dozens of articles and spoken at a number of industry conferences and webcasts. He has advanced degrees in computer science, applied mathematics, and psychology, and is currently a community evangelist at Dynatrace, an international software testing and application monitoring company. His past roles include technology journalist, software product manager, software developer, and university professor.

Company
Dynatrace
Job Function
Testing
Job Title
Evangelist
Industry
Computer Software - SaaS
Interests
Agile
Architecture
Business Analysis
Cloud
Configuration Management
Development Lifecycles
DevOps
IoT - Embedded
Mobile
Performance Testing
Programming
Requirements
Country
United States
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Peter Varhol

All Articles by Peter Varhol

All Stories by Peter Varhol

Machine learning Testing a Moving Target: How Do We Test Machine Learning Systems?Most machine learning systems are based on neural networks, or sets of layered algorithms whose variables can be adjusted via a learning process. These types of systems don’t produce an exact result; in fact, sometimes they can produce an obviously incorrect result. So, how do you test them? Peter Varhol tells you what you should consider when evaluating machine learning systems.