Optimization Algorithms for Machine Learning Models

Insight categories: AI and MLAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMedia

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

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Author

Lovekush Chaurasia

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Author

Amol Borse

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Author

Dr. Param Jeet

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Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Christina Gurgu

Christina Gurgu

Director, Client Engagement

Cosmin Stirbu

Cosmin Stirbu

Competency Center Manager, Engineering

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Andrei Margineanu

Associate Vice President

Alexandra Groza

Alexandra Groza

Lead Specialist, Marketing

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