Hands-on Machine Learning With Scikit-learn
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Ultimo aggiornamento:
18 novembre 2024
O'Reilly
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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O'Reilly
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
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Hands on Machine Learning with Scikit Learn Keras and TensorFlow: Concepts Tools and Techniques to Build Intelligent Systems
Books Subjects Computing Internet Computer Science AI Machine Learning Books Subjects Computing Internet Programming Languages Books Subjects Computing Internet Computer Science Information Systems
Product Type: ABIS BOOK
Brand: OReilly
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O'Reilly Media
Hands-On Machine Learning with Scikit-Learn and TensorFlow
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Dunod
Machine Learning avec Scikit-Learn: Mise en oeuvre et cas concrets
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Apress
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (English Edition)
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Packt Publishing
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python (English Edition)
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DUNOD
Machine Learning avec Scikit-Learn: Mise en oeuvre et cas concrets
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Independently published
Hands-On Machine Learning with Scikit-Learn
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Packt Publishing
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
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Packt Publishing
Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python
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