Name: Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning N (en Inglés)
Price: 48680.00 CLP
Availability: InStock
Author: Chen, James
ISBN: 9781738908400

portada Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning N (en Inglés)

Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning N (en Inglés)

Formato

Libro Físico

Autor

James Chen

Editorial

James Chen

Idioma

Inglés

N° páginas

376

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 2.0 cm

Peso

0.50 kg.

ISBN13

9781738908400

Categorías

Inteligencia artificial

Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning N (en Inglés)

James Chen (Autor) · James Chen · Tapa Blanda

Libro Nuevo Importado

Envío: 11 a 15 días háb.

$ 88.500$ 48.680

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 48.680

Llega entre el 03 Ago y el 07 Ago a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning N (en Inglés)"

This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms, and neural networks.Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial neural networks, convolutional neural networks, and generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning.Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regression and classification, K-means, support vector machines, and recommender systems.Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com.