Machine learning.
Overview
| Works: | 29 works in 5 publications in 5 languages | |
|---|---|---|
Titles
Prompt engineering for LLMs :the art and science of building large language model-based applications /
by:
(Language materials, printed)
AI and ML for coders in PyTorch :a coder's guide to generative AI and machine learning /
by:
(Language materials, printed)
Machine learning for medical applications: Volume II Computer vision, image processing, disease detection/
by:
(Language materials, printed)
Electrocardiogram signal classification and machine learningemerging research and opportunities /
by:
(Language materials, printed)
Quantum machine learning: an applied approach : the theory and application of quantum machine learning in science and industry/
by:
(Language materials, printed)
Generative deep learning: teaching machines to paint, write, compose, and play/
by:
(Language materials, printed)
Designing machine learning systems: an iterative process for production-ready applications/
by:
(Language materials, printed)
EEG-based experiment design for major depressive disorder :machine learning and psychiatric diagnosis /
by:
(Language materials, printed)
Hands-on machine learning with Scikit-Learn and TensorFlow :concepts, tools, and techniques to build intelligent systems /
by:
(Language materials, printed)
TensorFlow machine learning cookbook :explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehenisive cookbook /
by:
(Language materials, printed)
Enhancing software fault prediction with machine learningemerging research and opportunities /
by:
(Language materials, printed)
Conformal prediction for reliable machine learningtheory, adaptations, and applications /
by:
(Language materials, printed)
Quantum machine learningwhat quantum computing means to data mining /
by:
(Language materials, printed)
Show more
Fewer
Subjects