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Machine learning - Wikipedia
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 …
What is Machine Learning? | IBM
Notable open source machine learning libraries and toolkits focused on traditional ML include Pandas, Scikit-learn, XGBoost, Matplotlib, SciPy and NumPy among many others.
Machine Learning | Google for Developers
These modules cover critical considerations when building and deploying ML models in the real world, including productionization best practices, automation, and responsible engineering.
Machine Learning Tutorial - GeeksforGeeks
Aug 28, 2025 · Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed …
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Start Here with Machine Learning
Beginner Python Skills Understand ML Algorithms ML + Weka (no code) ML + Python (scikit-learn) ML + R (caret) Time Series Forecasting Data Preparation Data Science
The 2025 Guide to Machine Learning - IBM
Machine learning (ML) is the subset of artificial intelligence (AI) focused on algorithms that can “learn” the patterns of training data and, subsequently, make accurate inferences about new …
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Machine Learning Glossary | Google for Developers
Oct 20, 2025 · In general, any ML system that converts from a raw, sparse, or external representation into a more processed, denser, or more internal representation. Encoders are …