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Кришнанду Чаудхури Математика и архитектура глубокого обучения

Кришнанду Чаудхури Математика и архитектура глубокого обучения

5191.00 RUB
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Price: 5191.00 RUB

Unlock the Black Box of Deep Learning

Mathematics is the engine behind modern AI, and this book provides a structured, code-first approach to understanding it. Starting with vector calculus, linear algebra, and Bayesian inference, the authors explain how these concepts directly apply to building, training, and evaluating deep learning models.

You’ll learn how to prepare data, choose the right architecture, handle uncertainty, and manage variability in deployed solutions. The book bridges theory and practice with annotated Python code, taking you from foundational algebra and statistics to state-of-the-art deep learning architectures.

Whether you are a data scientist or an aspiring machine learning engineer, this guide equips you with the mathematical intuition needed to move beyond black-box solutions and truly understand what your models are doing.

Price: 5191.00 RUR

Customer reviews

Daniel Foster ★★★★☆
On the plus side, The product description is very clear and informative, explaining exactly what the book covers and who it's for. It effectively highlights the practical, code-first approach and the mathematical foundations, making it easy to understand the value. The price is prominently displayed, which is helpful for decision-making.
Elena Petrova ★★★★★
The product description is very clear and informative, explaining exactly what the book covers and who it's for. It effectively highlights the practical, code-first approach and the mathematical foundations, making it easy to understand the value. The price is prominently displayed, which is helpful for decision-making.