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标签名: 机器学习
Ensemble Methods: Foundations and Algorithms
出版日期: 2012-01
Convex Analysis: Analysis
出版日期: 1996-01
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition: Concepts, Tools, and Techniques to Build Intelligent Systems
出版日期: 2019-01
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
出版日期: 2001-01
Reinforcement Learning: An Introduction (second edition)
出版日期: 2018-01
应用预测建模
出版日期: 2016-01
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents): Robotics
出版日期: 0000-01
Scikit-Learn与TensorFlow机器学习实用指南(影印版)
出版日期: 2017-01
Make Your Own Neural Network
出版日期: 2016-01
Neural Network Design
出版日期: 2002-01
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
出版日期: 2010-01
An Introduction to Statistical Learning: with Applications in R
出版日期: 2013-01
非线性最优化基础
出版日期: 2011-01
High-Dimensional Statistics: A Non-Asymptotic Viewpoint
出版日期: 2019-01
Convex Optimization
出版日期: 2004-01
Introductory Functional Analysis with Applications
出版日期: 1989-01
Python深度学习
出版日期: 2018-01
Deep Learning with Python
出版日期: 2017-01
神经网络与深度学习
出版日期: 2020-01
Pattern Recognition and Machine Learning
出版日期: 2007-01
Bayesian Reasoning and Machine Learning
出版日期: 2011-01
Computer Vision: Models, Learning, and Inference
出版日期: 2012-01
Statistical Learning Theory
出版日期: 1998-01
The Elements of Statistical Learning
出版日期: 2003-01