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Başlık:
Data Science and Predictive Analytics Biomedical and Health Applications using R
Yazar:
Dinov, Ivo D. author.
ISBN:
9783031174834
Basım Bilgisi:
2nd ed. 2023.
Fiziksel Tanımlama:
XXXIV, 918 p. 336 illus., 306 illus. in color. online resource.
Seri:
The Springer Series in Applied Machine Learning,
İçerik:
Chapter 1 - Introduction -- Chapter 2: Basic Visualization and Exploratory Data Analytics -- Chapter 3: Linear Algebra, Matrix Computing and Regression Modeling -- Chapter 4: Linear and Nonlinear Dimensionality Reduction -- Chapter 5: Supervised Classification -- Chapter 6: Black Box Machine Learning Methods -- Chapter 7: Qualitative Learning Methods - Text Mining, Natural Language Processing, Apriori Association Rules Learning -- Chapter 8: Unsupervised Clustering -- Chapter 9: Model Performance Assessment, Validation, and Improvement -- Chapter 10: Specialized Machine Learning Topics -- Chapter 11: Variable Importance and Feature Selection -- Chapter 12: Big Longitudinal Data Analysis -- Chapter 13: Function Optimization -- Chapter 14: Deep Learning, Neural Networks.
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-3-031-17483-4Kopya:
Rafta:*
Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
---|---|---|---|---|---|
Arıyor... | E-Kitap | 520211-1001 | XX(520211.1) | Arıyor... | Arıyor... |