Scikit Learn
I 10 migliori prodotti di maggio 2025
Ultimo aggiornamento:
2 maggio 2025
O'Reilly Media, Inc.
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Amazon.it
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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
72,50 € SU AMAZON
Packt Publishing
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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Amazon.it
#2
O'Reilly Media
Hands-On Machine Learning with Scikit-Learn and TensorFlow
71% Sconto
95
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Amazon.it
#3
Independently published
Machine Learning con Python e Scikit-Learn: Costruire algoritmi di Intelligenza Artificiale
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92
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Amazon.it
#4
Mastering Scikit-Learn: Practical ML for Everyone (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence Book 5) (English Edition)
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Amazon.it
#5
LEARN Scikit-Learn: Essential Machine Learning for Data Science (Frameworks AI & Machine Learning ENG) (English Edition)
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Amazon.it
#6
Packt Publishing
scikit-learn : Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline (English Edition)
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Amazon.it
#7
IntelliSoft Ventures
Scikit-Learn: A Detailed Overview (English Edition)
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Amazon.it
#8
PYTHON PROGRAMMING FOR CYBER SECURITY WITH SCAPY AND SCIKIT-LEARN: A Hands-On Guide to Building Secure Systems and Defending Against Cyber Threats (The ... Library Book 2) (English Edition)
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Amazon.it
#9
Scikit-learn 1.6.1 for Machine Learning: A Beginner's Guide with Python (English Edition)
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#10
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