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All articles Design & UXDevelopmentImplementationMobileModern WorkplaceMule 4MulesoftTech Life

Articles about: Data Science

Development2022.01.12 4 min. read

ML systems security

Mateusz Szczęsny MLOps Engineer

ML systems security

Data from 89% of healthcare organisations have been stolen in the past two years due to cyberattacks. As many as 81% of the cybersecurity-related incidents in healthcare result from employees’ negligence. Patient health records can be sold on the black market for as much as USD 363, which is higher than a cost of any […]

CybersecurityData Scienceinversion by surrogate modelMachine LearningML EngineeringMLOps
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Development2021.10.13 3 min. read

Monitoring ML models using MLOps.

Mateusz Szczęsny MLOps Engineer

Monitoring ML models using MLOps.

In the previous paper, I presented how MLOps supports the implementation of ML (machine learning) systems. The following text builds on one of the practices previously outlined, i.e. monitoring. Below I will attempt to answer three questions:  Why is the monitoring of production models so important, and what are the possible consequences of lack thereof?  What are […]

Best PracticesData ScienceMachine LearningMLOpsMonitoring MLQuality Management
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Development2021.08.18 4 min. read

Become a Big Data & AI specialist. Proprietary training programs at Billennium.

Katarzyna Biedroń Employee Experience & Employer Branding Specialist

Become a Big Data & AI specialist. Proprietary training programs at Billennium.

Big Data & AIBillenniumData ScienceDevelopmentMLOps
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Development2021.07.27 3 min. read

Risk in ML Projects. Is MLOps the Solution?

Mateusz Szczęsny MLOps Engineer

Risk in ML Projects. Is MLOps the Solution?

Data ScienceMachine LearningML projectsMLOpsrisk management
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