Machine Learning

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
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46,01 € EN AMAZON

Machine Learning

Los 10 mejores productos de julio de 2025

Última actualización: 12 de julio de 2025

ANAYA MULTIMEDIA

Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow. Tercera Edición: Conceptos, herramientas y técnicas para conseguir sistemas inteligentes (TÍTULOS ESPECIALES)

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CALIDAD MÁXIMA

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O'Reilly Media, Inc.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

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CALIDAD SUPERIOR

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Packt Publishing

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning (English Edition)

92

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Marcombo

Machine Learning con PyTorch y Scikit-Learn: Desarrollo de modelos Machine Learning y Deep Learning con Python (Packt publishing)

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MARCOMBO

Diseño de sistemas de Machine Learning: Un proceso iterativo para aplicaciones listas para funcionar (O'reilly)

82

CALIDAD FIABLE

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O'Reilly Media

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

80

CALIDAD BUENA

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O'Reilly UK Ltd.

Introduction to Machine Learning with Python: A Guide for Data Scientists

79

CALIDAD BUENA

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Agencia del ISBN en España

Aprende Machine Learning en Español: Teoría + Práctica Python

77

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MIT Press

Deep Learning (The MIT Press Essential Knowledge series)

72

CALIDAD BUENA

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O'Reilly UK Ltd.

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

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