Antzeko izenburuak: Linear Algebra and Optimization with Applications to Machine Learning :
- Linear Algebra and Optimization with Applications to Machine Learning : Linear Algebra for Computer Visión, Robotics, and Machine Learning /
- Introduction to Linear Algebra /
- Linear Algebra and Learning from Data /
- Matrix Algorithms : Basic Decompositions /
- Matrix Algorithms : Eigensystems /
- Convexity and Optimization in Rᶰ [superíndice n] /
Gaia: Aprendizaje Automático (Inteligencia Artificial) - Tema Principal
- Aprendizaje automático : conceptos básicos y avanzados : aspectos prácticos utilizando el software WEKA /
- Analítica académica : análisis de la graduación de estudiantes de un posgrado con PNPC /
- From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming /
- Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
- Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python /
- Deep Learning in Python Prerequisites : Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python /
Gaia: Dominios Convexos
- Convexity and Optimization in Rᶰ [superíndice n] /
- Cuerpos de ancho constante /
- Nonlinear and Convex Analysis : Proceedings in Honor of Ky Fan /
- Strict Convexity and Complex Strict Convexity /
- Semidefinite Optimization and Convex Algebraic Geometry /
- Introduction to Optimization and Hadamard Semidifferential Calculus /
Egilea: Gallier, Jean H.
- Logic for computer science : foundations of automatic theorem proving /
- Linear Algebra and Optimization with Applications to Machine Learning : Linear Algebra for Computer Visión, Robotics, and Machine Learning /
- Linear Algebra and Optimization with Applications to Machine Learning : Fundamentals of Optimization Theory with Applications to Machine Learnig /