Name: Machine Learning With Python: Principles and Practical Techniques (Elements in Earth System Governance) (en Inglés)
SKU: 64204800
Price: 225.42 PEN
Availability: InStock
Author: Parteek Bhatia
ISBN: 9781009170246

portada Machine Learning With Python: Principles and Practical Techniques (Elements in Earth System Governance) (en Inglés)

Machine Learning With Python: Principles and Practical Techniques (Elements in Earth System Governance) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Parteek Bhatia

Idioma

Inglés

N° páginas

850

Encuadernación

Tapa Blanda

ISBN13

9781009170246

Machine Learning With Python: Principles and Practical Techniques (Elements in Earth System Governance) (en Inglés)

Parteek Bhatia (Autor) · Cambridge University Press · Tapa Blanda

Más barato Libro Nuevo Importado

Envío: 11 a 15 días háb.

S/ 500,94S/ 225,42

-55%

Más rápido Libro Nuevo Importado

Envío: 9 a 14 días háb.

S/ 504,89S/ 227,20

-55%

Costos de importación incluídos en el precio ✅

Libro Nuevo Más barato

Última Unidad

S/ 225,42

Llega entre el 30 Sep y el 07 Oct a CERCADO DE LIMA, Lima. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Machine Learning With Python: Principles and Practical Techniques (Elements in Earth System Governance) (en Inglés)"

Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a 'learning by doing' approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner.