Embarking on the journey to master AI with Anatoly Melamud

Описание: Embarking on the journey to master AI with Anatoly Melamud

In this insightful video, AI Architect Anatoly Melamud shares valuable best practices and considerations for starting an AI initiative. Key points include the importance of data quality for successful ML model development, the need to train ML models with large data sets to avoid overfitting, and the necessity of researching the mathematical foundations of the applied ML model.

Anatoly also discusses the significant computing resources required for AI system architecture, emphasizing the need for designing an elastic and scalable AI computing platform to optimize AI ROI. He further advises on the development and deployment of ML models using a standard ML Ops framework suitable for the chosen compute architecture. Lastly, he highlights the importance of assuming ML model and data drifts, and including model performance monitoring and re-training in your ML/AI CI/CD deployment. Tune in to learn more about these best practices for AI development.

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