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Machine Learning System

I 10 migliori prodotti di agosto 2025
Ultimo aggiornamento: 5 agosto 2025
O'Reilly
O'Reilly
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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#1 VINCITORE

  • ABIS BOOK
  • Product type: ABIS BOOK
  • Brand: O'Reilly
  • 55,93 € SU AMAZON
ByeByteGo
ByeByteGo
Machine Learning System Design Interview        
Spedizione gratuita
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Amazon.it
#2
Manning
Manning
Machine Learning System Design: With end-to-end examples (English Edition)
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#3
O'Reilly
O'Reilly
Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
12% Sconto
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#4

  • 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
  • 71,57 € SU AMAZON
Independently published
Independently published
Machine Learning System Design: Real-World Lessons: Deep Dives into Stripe, Spotify, Netflix, and Meta's ML Architectures
Spedizione gratuita
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#5
Oreilly & Associates Inc
Oreilly & Associates Inc
Hands-On Machine Learning With Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
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#6
Packt Publishing
Packt Publishing
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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#7
Andriy Burkov
Andriy Burkov
The Hundred-Page Machine Learning Book          
Spedizione gratuita
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#8
MIT Press
MIT Press
Machine Learning, revised and updated edition    
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#9
Springer
Springer
Automated Machine Learning: Methods, Systems, Challenges (The Springer Series on Challenges in Machine Learning) (English Edition)
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#10
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