Pattern Recognition And Machine Learning
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2 maggio 2025
Springer
Pattern Recognition and Machine Learning
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Springer
Pattern Recognition and Machine Learning
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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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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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Cambridge University Press
Mathematics for Machine Learning
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Wiley
Advances in Financial Machine Learning
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MIT Press
Foundations of Computer Vision
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Pattern Recognition and Machine Learning: An Introduction to Statistical Techniques for Intelligent Data Analysis and Predictive Modeling (English Edition)
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Amazon.it
#7
Springer
Pattern Recognition and Machine Learning (text only) 2nd(Second) edition BY C.M. Bishop
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CRC Press
Transformers for Machine Learning: A Deep Dive
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Pattern Recognition and Machine Learning (Information Science and Statistics) (English Edition)
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#10
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