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Optimized Title: Essential Mathematical Foundations for Machine Learning in Science
$19.69
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- Provides a comprehensive overview of the mathematical foundations necessary for understanding and applying machine learning algorithms in science.
- Covers essential topics such as linear algebra, calculus, probability theory, and optimization.
- Includes numerous examples and exercises to help readers apply the concepts to real-world problems.
- Written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
- Ideal for students, researchers, and practitioners in science who want to gain a deeper understanding of the mathematical foundations of machine learning.
Condition: New original from publisher
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