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Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and …

These modules cover critical considerations when building and deploying ML models in the real world, including productionization best practices, automation, and responsible engineering.

Oct 15, 2025 · There, you'll learn how to build ML models, apply best practices for ML development, and even build and train your own neural network for multi-class classification.

Notable open source machine learning libraries and toolkits focused on traditional ML include Pandas, Scikit-learn, XGBoost, Matplotlib, SciPy and NumPy among many others.

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