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  1. Machine Learning | Google for Developers

    Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises.

  2. Machine Learning & Artificial Intelligence Basics - Google …

    Aug 25, 2025 · If you are trying to decide whether to use ML to solve a problem, Introduction to Machine Learning Problem Framing can help get you started. For definitions of key concepts …

  3. Machine Learning Glossary: ML Fundamentals - Google Developers

    Sep 12, 2025 · In machine learning, a situation in which a model's predictions influence the training data for the same model or another model. For example, a model that recommends …

  4. Machine Learning | Google for Developers

    Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.

  5. Machine Learning | Google for Developers

    Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.

  6. Glossario del machine learning: nozioni di base del machine …

    Il machine learning si riferisce anche al campo di studio che si occupa di questi programmi o sistemi. Per saperne di più, consulta il corso Introduzione al machine learning.

  7. Linear regression | Machine Learning | Google for Developers

    Aug 25, 2025 · This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning.

  8. Glossaire du machine learning: Bases du ML - Google Developers

    Dans le machine learning traditionnel, processus consistant à effectuer des prédictions en appliquant un modèle entraîné à des exemples sans étiquette. Pour en savoir plus, consultez …

  9. Glossar zum maschinellen Lernen: ML-Grundlagen | Machine …

    Machine Learning bezieht sich auch auf den Forschungsbereich, der sich mit diesen Programmen oder Systemen befasst. Weitere Informationen finden Sie im Kurs Einführung in maschinelles …

  10. 机器学习术语表:指标 | Machine Learning | Google for Developers

    例如,假设某个亚热带城市每 100 年只下 25 天雪。由于无雪天数(负类)远多于有雪天数(正类),因此该城市的降雪数据集属于类别不平衡的数据集。假设有一个 二元分类 模型,它本应 …