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Coureka / Curso
Harvard University

Principles, Statistical and Computational Tools for Reproducible Data Science

Principles, Statistical and Computational Tools for Reproducible Data Science es una formación impartida por Harvard University. Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Sobre este curso

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

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Introduction to Neural Networks and Deep Learning with Python

Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models from scratch and learn to diagnose behavior and generalization.
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Managing Happiness

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