-
-
-
-
URL copied!
Although a well-trained machine learning model can be used to process complex data, such as predicting a company’s employee attrition rate, it is crucial that the learning model be properly optimized in order to minimize errors and produce accurate results. In this white paper, we will explore the various optimization algorithms that can maximize a model’s learning process and output.
Authors
Top Insights
Innovators and Laggards: The Technology Landscape of 2019
Digital TransformationPerspectiveAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology
Top Authors
Chief Technology Officer, AI
VP of Healthcare Technology
Vice President, Client Engagement
AVP, Engineering
Consultant, Engineering
Blog Categories
Let’s Work Together
Related Content
Unlock the Power of the Intelligent Healthcare Ecosystem
Welcome to the future of healthcare The healthcare industry is on the cusp of a revolutionary transformation. As we move beyond digital connectivity and data integration, the next decade will be defined by the emergence of the Intelligent Healthcare Ecosystem. This is more than a technological shift—it's a fundamental change in how we deliver, experience, … Continue reading Optimization Algorithms for Machine Learning Models →
Learn more
Crowd-Striked: Lessons Learned and Best Practices for Future Prevention
Incident Summary On July 19, 2024, CrowdStrike released a content configuration update for the Windows sensor that resulted in widespread system instability, causing Windows systems to experience the "Blue Screen of Death" (BSOD). The issue was traced to a channel file named “C-00000291*.sys” included in the update, which caused system crashes upon deployment. “Channel files” … Continue reading Optimization Algorithms for Machine Learning Models →
Learn more
Share this page:
-
-
-
-
URL copied!