Sumit Mundhada
The 9th edition of the Global Testing Retreat 2024!
About Speaker
Automation, Artificial Intelligence and Machine Learning practitioner with 15+ years of experience in test automation, automation framework development, artificial intelligence and machine learning, quality assurance for cutting edge technology products. Leading Automation and AI ML Team for defining automation strategy, competency building, opportunity assessments, tools/framework selection, AI ML product development and Project management
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Critical aspect for the success of AI ML solutions lies in its evaluation, testing and overall performance of the machine learning model. It is equally important to know how the model gets trained which will help to effectively and efficiently analyze and evaluate machine learning models.
This Session will cover all essential evaluation and testing strategies, processes for artificial intelligence and machine learning models based on model categories and areas of AI such as supervised learning, unsupervised learning, GenAI, etc.
Session will cover all important metrics, tools, key libraries, etc. which will help in better evaluation and benchmarking AI solutions.
Key Takeaways:
- Understanding fundamentals for testing any AI ML products
- Understanding strategies to effectively evaluate artificial intelligence and machine learning solutions
- Learning about different types of machines learning evaluation metrics and where to use them
- How to test Model performance and benchmarking the same
