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Understanding the underlying principles of machine learning is crucial for maximizing its effectiveness in various scientific and engineering fields. As ML becomes increasingly integrated into daily life, grasping its foundational concepts allows practitioners to leverage its capabilities more efficiently and effectively.
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Machine Learning, Alexander Jung
- Langue
- Année de publication
- 2022
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- Titre
- Machine Learning
- Sous-titre
- The Basics
- Langue
- Anglais
- Auteurs
- Alexander Jung
- Éditeur
- Springer Nature Singapore
- Publié
- 2022
- Format
- rigide
- Pages
- 232
- ISBN13
- 9789811681929
- Séries
- Évaluation
- 3,5 sur 5
- Description
- Understanding the underlying principles of machine learning is crucial for maximizing its effectiveness in various scientific and engineering fields. As ML becomes increasingly integrated into daily life, grasping its foundational concepts allows practitioners to leverage its capabilities more efficiently and effectively.