Foundations of Machine Learning, second edition 비슷한 책 더 보기

Learning Theory Learning Theory
Learning Theory
2007년
Algorithmic Learning Theory Algorithmic Learning Theory
Algorithmic Learning Theory
2008년
Numerical Analysis for Statisticians Numerical Analysis for Statisticians
Numerical Analysis for Statisticians
2010년
Mathematical Foundations of Big Data Analytics Mathematical Foundations of Big Data Analytics
Mathematical Foundations of Big Data Analytics
2021년
Algorithmic Learning Theory Algorithmic Learning Theory
Algorithmic Learning Theory
2007년
High-Dimensional Statistics High-Dimensional Statistics
High-Dimensional Statistics
2019년
Optimization for Data Analysis Optimization for Data Analysis
Optimization for Data Analysis
2022년
Algorithmic Aspects of Machine Learning Algorithmic Aspects of Machine Learning
Algorithmic Aspects of Machine Learning
2018년
Continuous Optimization Continuous Optimization
Continuous Optimization
2006년
Machine Learning Machine Learning
Machine Learning
2017년
Optimal Design and Related Areas in Optimization and Statistics Optimal Design and Related Areas in Optimization and Statistics
Optimal Design and Related Areas in Optimization and Statistics
2010년
Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
2008년
Monte Carlo and Quasi-Monte Carlo Methods Monte Carlo and Quasi-Monte Carlo Methods
Monte Carlo and Quasi-Monte Carlo Methods
2022년
Optimization Optimization
Optimization
2013년
Foundations of Data Science Foundations of Data Science
Foundations of Data Science
2020년