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portada Hands–On Machine Learning With Scikit–Learn, Keras, and Tensorflow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
Type
Physical Book
Author
Publisher
Year
2022
Language
English
Pages
861
Format
Paperback
Dimensions
23.3x17.8x4.3 cm
Weight
1.35 kg.
ISBN13
9781098125974
Edition No.
0003
Categories

Hands–On Machine Learning With Scikit–Learn, Keras, and Tensorflow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

Aurélien Géron (Author) · O'Reilly Media · Paperback

Hands–On Machine Learning With Scikit–Learn, Keras, and Tensorflow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems - Aurélien Géron

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Synopsis "Hands–On Machine Learning With Scikit–Learn, Keras, and Tensorflow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems "

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
Aurélien Géron
  (Author)
View Author's Page
Aurélien Géron es un consultor en aprendizaje automático (Machine Learning) conocido por equilibrar la teoría con aplicaciones prácticas y realistas. Comenzó su trayectoria en la ingeniería en campos diversos como finanzas, defensa y salud, antes de fundar dos empresas tecnológicas en Francia.

Entre 2001 y 2012 fue CTO y uno de los fundadores de Polyconseil y Wifirst, una empresa destacada en el sector de internet inalámbrico en Francia. En 2013 se unió a Google, donde lideró el equipo de clasificación automática de videos en YouTube hasta 2016. Posteriormente, se consolidó como consultor independiente en ML mientras enseñaba en instituciones académicas.

Es autor del exitoso libro Hands‑On Machine Learning with Scikit‑Learn, Keras and TensorFlow, que se ha convertido en una referencia para quienes desean aprender Machine Learning con un enfoque práctico. También es instructor en plataformas técnicas, impartiendo cursos sobre inteligencia artificial, pipelines de producción y procesamiento de lenguaje natural.

Géron fue formado originalmente en microbiología y genética evolutiva, antes de inclinarse por la informática. Esta formación multidisciplinaria moldeó su enfoque pragmático y científico hacia los modelos de ML. Vive con su familia—esposa y tres hijos—y es conocido entre sus alumnos como aquel que enseñó a contar en binario usando los dedos, hasta 1023.
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Customers reviews

Héctor Alonso Hormazábal Vildósola Wednesday, June 07, 2023
Verified Purchase

Muy buen libro para alguien con concimientos intermedios de ML

10
 Luis Alejandro Tavera Pérez Wednesday, May 06, 2026
Verified Purchase

Increíble libro, muy completo.

00
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