Machine learning - Mathematics.

Linear algebra and optimization with applications to machine learning / by: (書目-語言資料,印刷品)

Black box optimization, machine learning, and no-free lunch theorems by: (書目-電子資源)

Mathematical foundations for data analysis by: (書目-電子資源)

Algorithmic aspects of machine learning by: (書目-電子資源)

Kernel methods for machine learning with Math and R100 exercises for building logic / by: (書目-電子資源)

Kernel methods for machine learning with Math and Python100 exercises for building logic / by: (書目-電子資源)

Alternating direction method of multipliers for machine learning by: (書目-電子資源)

Probabilistic numericscomputation as machine learning / by: (書目-電子資源)

Random matrix methods for machine learning by: (書目-電子資源)

Essential math for data science :take control of your data with fundamental linear algebra, probability, and statistics / by: (書目-語言資料,印刷品)

Elements of dimensionality reduction and manifold learning by: (書目-電子資源)

Fundamental mathematical concepts for machine learning in science by: (書目-電子資源)

Mathematical introduction to data science by: (書目-電子資源)

Advanced techniques in optimization for machine learning and imaging by: (書目-電子資源)

Variational and information flows in machine learning and optimal transport by: (書目-電子資源)