Lectures on the Nearest Neighbor Method Lectures on the Nearest Neighbor Method
Springer Series in the Data Sciences

Lectures on the Nearest Neighbor Method

    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).   

النوع
علم وطبيعة
تاريخ النشر
٢٠١٥
٨ ديسمبر
اللغة
EN
الإنجليزية
عدد الصفحات
٢٩٩
الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
٧٫٨
‫م.ب.‬
Branching Random Walks Branching Random Walks
٢٠١٦
Point Processes and Their Statistical Inference Point Processes and Their Statistical Inference
٢٠١٧
Random Walks on Disordered Media and their Scaling Limits Random Walks on Disordered Media and their Scaling Limits
٢٠١٤
Approximation Methods in Probability Theory Approximation Methods in Probability Theory
٢٠١٦
Renewal Theory for Perturbed Random Walks and Similar Processes Renewal Theory for Perturbed Random Walks and Similar Processes
٢٠١٦
Parameter Estimation in Fractional Diffusion Models Parameter Estimation in Fractional Diffusion Models
٢٠١٨
Statistics with Julia Statistics with Julia
٢٠٢١
First-order and Stochastic Optimization Methods for Machine Learning First-order and Stochastic Optimization Methods for Machine Learning
٢٠٢٠
Data Science for Public Policy Data Science for Public Policy
٢٠٢١
Mathematical Foundations for Data Analysis Mathematical Foundations for Data Analysis
٢٠٢١
Statistical Inference and Machine Learning for Big Data Statistical Inference and Machine Learning for Big Data
٢٠٢٢
Statistics in the Public Interest Statistics in the Public Interest
٢٠٢٢