Enterprise Data Scientist

By Fatih Nayebi

Professional and approachable data science expert.

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• Critical factors for enterprise data science
• Advancements in supervised learning
• Innovative feature engineering techniques that can significantly impact model performance?
• Effectiveness of PCA versus t-SNE for visualizing high-dimensional data
• How are semi and self-supervised learning approaches revolutionizing the way we train machine learning models?
• Designing a scalable Machine Learning architecture
• Explaining cloud-native machine learning apps
• Discussing fairness and bias in Machine Learning
• Securing Machine Learning applications

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