Dimensionality Reduction in Data Science Max Garzon
Titel: Dimensionality Reduction in Data Science, Einband: Taschenbuch, Autor: Max Garzon, Verlag: Springer International Publishing, Springer Nature Switzerland, Sprache: Englisch, Seiten: 280, Maße: 235x155x16 mm, Gewicht: 429 g, Verkäufer: buch-mimpf, Schlagworte: Classification/Prediction Cross-validation DNA hybridization Data science platforms Deep learning/Backpropagation Experimental control Explainable solutions Extreme Dimensionality reduction Geometric Methods Independent Component Analysis Information-theoretic methods Machine Learning No-Free-Lunch (NFL) theorem Semi/Unsupervised learning data visualization dimensionality reduction molecular methods regression methods statistical methods supervised learning.
Jetzt bei Ebay: