Cargando…

Contributions to Machine Learning and Psychometrics : Computational, Graphical, and Statistical Methods for Assessing Stability.

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Philipp, Michel
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Göttingen : Cuvillier Verlag, 2017.
Temas:	Machine learning. Apprentissage automatique. Machine learning
Acceso en línea:	Texto completo

Ejemplares similares

The essential machine learning foundations : math, probability, statistics, and computer science (Video Collection).
Publicado: (2022)

Machine learning bookcamp /
por: Grigoriev, Alexey
Publicado: (2021)

Grokking machine learning /
por: Serrano, Luis G.
Publicado: (2021)

Grokking Machine Learning.
por: Serrano, Luis G.
Publicado: (2021)

Graph-Powered Machine Learning /
por: Negro, Alessandro
Publicado: (2021)

Machine learning systems : designs that scale /
por: Smith, Jeff
Publicado: (2018)

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason (Computer scientist)
Publicado: (2015)

Fundamentals and methods of machine and deep learning : algorithms, tools and applications /
Publicado: (2022)

Real-world machine learning /
por: Brink, Henrik, et al.
Publicado: (2017)

Designing machine learning systems.
Publicado: (2023)

Applications of Machine Learning 2021
Publicado: (2021)

Machine learning quick reference : quick and essential machine learning hacks for training smart data models /
por: Kumar, Rahul
Publicado: (2019)

Practical machine learning : innovations in recommendation /
por: Dunning, Ted, 1956-
Publicado: (2014)

Industrial machine learning : using artificial intelligence as a transformational disruptor /
por: Vermeulen, Andreas François
Publicado: (2020)

Industrial machine learning : using artificial intelligence as a transformational disruptor /
por: Vermeulen, Andreas François
Publicado: (2020)

Grokking Machine Learning, video edition /
por: Serrano, Luis G.
Publicado: (2021)

Machine Learning for Future Wireless Communications
por: Luo, Fa-Long
Publicado: (2019)

Design Patterns für Machine Learning /
por: Lakshmanan, Valliappa, et al.
Publicado: (2021)

The machine learning solutions architect handbook : create machine learning platforms to run solutions in an enterprise setting /
por: Ping, David
Publicado: (2022)

Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics /
por: Bowles, Michael
Publicado: (2019)

Practicing Trustworthy Machine Learning : consistent, transparent, and fair AI pipelines /
por: Pruksachatkun, Yada, et al.
Publicado: (2022)

Conformal prediction for reliable machine learning : theory, adaptations and applications /
Publicado: (2014)

AI and Machine Learning for on-Device Development : a programmer's guide /
por: Moroney, Laurence
Publicado: (2021)

Machine learning for dummies /
por: Mueller, John, 1958-, et al.
Publicado: (2016)

Machine learning for dummies /
por: Mueller, John, 1958-, et al.
Publicado: (2016)

Mastering machine learning with scikit-learn : learn to implement and evaluate machine learning solutions with scikit-learn /
por: Hackeling, Gavin
Publicado: (2017)

Machine Learning Applications in Electromagnetics and Antenna Array Processing
por: Martínez-Ramón, Manel
Publicado: (2021)

Machine learning : a constraint-based approach /
por: Gori, Marco
Publicado: (2017)

Advanced machine learning /
por: Mason, Hilary
Publicado: (2012)

Efficient machine learning /
Publicado: (2022)

Applied machine learning explainability techniques : make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more /
por: Bhattacharya, Aditya
Publicado: (2022)

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason (Computer scientist)
Publicado: (2020)

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason (Computer scientist)
Publicado: (2020)

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason (Computer scientist)
Publicado: (2020)

The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum.
Publicado: (2018)

Machine learning in action /
por: Harrington, Peter
Publicado: (2012)

Kubeflow for machine learning : from lab to production /
por: Grant, Trevor, et al.
Publicado: (2020)

Machine learning engineering with MLflow manage the end-to-end machine learning lifecycle with MLflow /
por: Lauchande, Natu
Publicado: (2021)

Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems
por: Tofangchi, Schahin
Publicado: (2020)

Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems
por: Tofangchi, Schahin
Publicado: (2020)