Linear Algebra in Data Science N/A
Unlock the power of mathematics with ‘Linear Algebra in Data Science’ by Peter Zizler and Roberta La Haye, published by Birkhäuser. This essential text bridges the gap between theoretical concepts and practical applications in data science. Readers will explore key linear algebra techniques that underpin machine learning, statistics, and data manipulation, with clear explanations and real-world examples. The book features a comprehensive approach, making it suitable for both students and professionals seeking to enhance their understanding of data-driven methodologies. Elevate your data science skills and grasp the mathematical foundations that drive innovation in
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