Pattern Recognition And Machine Learning
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30 aprile 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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Pattern Recognition and Machine Learning (Information Science and Statistics) (English Edition)
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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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Wiley
Advances in Financial Machine Learning
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Springer
Pattern Recognition and Machine Learning: Proceedings of the Japan—U.S. Seminar on the Learning Process in Control Systems, held in Nagoya, Japan August 18–20, 1970
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Cambridge University Press
Mathematics for Machine Learning
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Springer
Pattern Recognition and Machine Learning (text only) 2nd(Second) edition BY C.M. Bishop
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Chapman and Hall/CRC
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions
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#10
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