Artículo: AMZ-B0FLJMDRNP

Mathematics for Data Science: A Beginner’s Guide to Linear Algebra, Calculus, Probability, and Statistics for Machine Learning and AI

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • This comprehensive and beginner-friendly book offers a clear and structured journey through the essential mathematics needed for data science, machine learning, and artificial intelligence. Whether you're a student, a working professional, or a self-learner, this book simplifies complex mathematical topics — including linear algebra, calculus, probability, and statistics — using intuitive explanations, real-world examples, and applications in modern data science.Each chapter covers foundational theory, step-by-step methods, and practical applications such as PCA, regression, and optimization. With visual learning aids and concise summaries, this book is your first step toward mastering the math behind algorithms and intelligent systems.

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