Pattern Recognition And Machine Learning
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Springer
Pattern Recognition and Machine Learning
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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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Cambridge University Press
Understanding Machine Learning: From Theory to Algorithms (English Edition)
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Springer International Publishing AG
Pattern Recognition Primer
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Cambridge University Press
Mathematics for Machine Learning
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Springer-Nature New York Inc
Fundamentals of Pattern Recognition and Machine Learning
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Springer
Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings: 10496
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Morgan Kaufmann
Pattern Recognition and Machine Learning (English Edition)
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