Name: Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms (en Inglés)
Price: 495.14 MXN
Availability: InStock
Author: Sage, Victor
ISBN: 9789635225514

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portada Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms (en Inglés)

Formato

Libro Físico

Autor

Victor Sage

Editorial

Publishdrive

Idioma

Inglés

N° páginas

130

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.7 cm

Peso

0.18 kg.

ISBN13

9789635225514

Categorías

Ingeniería electrónica
Teoría matemática de la computación
Machine learning: aprendizaje automático

Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms (en Inglés)

Victor Sage (Autor) · Publishdrive · Tapa Blanda

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$ 495.14

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms (en Inglés)"

Few subjects have attracted as much interest, curiosity, and transformational power as machine learning (ML) in the enormous field of technological evolution. Machine learning has a huge and subtle impact on how we engage with technology, from the voice-activated assistants on our smartphones to the recommendation engines on our preferred streaming services. However, numerous individuals are still confused about the fundamental workings of machine learning, even in spite of its widespread use. This e-book aims to solve that puzzle. More than just an e-book for understanding the math and algorithms behind this potent technology, "Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms" goes beyond that. It's a primer on how patterns arise from chaos and how machines learn from these patterns to anticipate the future. It's an investigation of the very fabric of our data-driven world. This e-book is suitable for readers of all levels, from the beginning data scientist who is keen to delve into the nuances of neural networks to the interested enthusiast who just wants to grasp the fundamentals. Before diving further into the fundamental algorithms that drive machine learning, we'll travel through time to trace the field's beginnings. Along the way, we'll address the difficulties this technology presents, such as ethical dilemmas and bias concerns, and investigate the plethora of practical uses that have transformed entire sectors.