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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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KNYGA Bookshop Building Machine Learning Systems with a Feature Store
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Pristatymo laikas: 10-16 d.d.
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Pristatymo laikas: 10-16 d.d.
KNYGA Marco Schoen Introduction to Intelligent Systems, Control, and Machine Learning using MATLAB
... : Architecture, Statistics and Machine Learning for Production-Scale Systems
Building AI Systems with Python: Practical Machine Learning and Agentic ...
Machine Learning and Security: Protecting Systems with Data and Algorithms
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow ... to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts ... to Build Intelligent Systems
Machine Learning for Engineers: Using data to solve problems for physical systems 1st ed. 2021
Machine Learning and Security: Protecting Systems with Data and Algorithms
Pristatymo laikas: 10-16 d.d.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow ... to Build Intelligent Systems
Pristatymo laikas: 10-16 d.d.
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems