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65本机器学习书单 2020年

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前言

斯普林格已经向公众发布了数百本关于广泛主题的免费图书。这份名单共有408本书,涵盖了广泛的科学和技术主题。为了节省您的时间,我创建了一个与数据和机器学习领域相关的所有书籍(共65本)的列表。

在这些书中,你会发现那些处理数学方面的领域(代数,统计,和更多) ,随着更高级的书籍深度学习和其他高级主题。您还可以在各种编程语言(如 Python、 R 和 MATLAB 等)中找到一些好书。

书单

这份书籍清单和链接如下,简单翻译了一下书名,供感兴趣的朋友参考:

The Elements of Statistical Learning(统计学习基础)

Trevor Hastie, Robert Tibshirani, Jerome Friedman

http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7

Introductory Time Series with R(时间序列导论-基于R语言讲解)

Paul S.P. Cowpertwait, Andrew V. Metcalfe

http://link.springer.com/openurl?genre=book&isbn=978-0-387-88698-5

A Beginner’s Guide to R(R语言初学者指南)

Alain Zuur, Elena N. Ieno, Erik Meesters

http://link.springer.com/openurl?genre=book&isbn=978-0-387-93837-0

Introduction to Evolutionary Computing(进化计算导论)

A.E. Eiben, J.E. Smith

http://link.springer.com/openurl?genre=book&isbn=978-3-662-44874-8

Data Analysis(数据分析)

Siegmund Brandt

http://link.springer.com/openurl?genre=book&isbn=978-3-319-03762-2

Linear and Nonlinear Programming(线性和非线性规划)

David G. Luenberger, Yinyu Ye

http://link.springer.com/openurl?genre=book&isbn=978-3-319-18842-3

Introduction to Partial Differential Equations(偏微分方程简介)

David Borthwick

http://link.springer.com/openurl?genre=book&isbn=978-3-319-48936-0

Fundamentals of Robotic Mechanical Systems(机器人机械系统基础)

Jorge Angeles

http://link.springer.com/openurl?genre=book&isbn=978-3-319-01851-5

Data Structures and Algorithms with Python(Python数据结构和算法)

Kent D. Lee, Steve Hubbard

http://link.springer.com/openurl?genre=book&isbn=978-3-319-13072-9

Introduction to Partial Differential Equations(偏微分方程简介)

Peter J. Olver

http://link.springer.com/openurl?genre=book&isbn=978-3-319-02099-0

Methods of Mathematical Modelling(数学建模方法)

Thomas Witelski, Mark Bowen

http://link.springer.com/openurl?genre=book&isbn=978-3-319-23042-9

LaTeX in 24 Hours(24小时掌握LaTeX)

Dilip Datta

http://link.springer.com/openurl?genre=book&isbn=978-3-319-47831-9

Introduction to Statistics and Data Analysis(统计与数据分析导论)

Christian Heumann, Michael Schomaker, Shalabh

http://link.springer.com/openurl?genre=book&isbn=978-3-319-46162-5

Principles of Data Mining(数据挖掘原理)

Max Bramer

http://link.springer.com/openurl?genre=book&isbn=978-1-4471-7307-6

Computer Vision(计算机视觉)

Richard Szeliski

http://link.springer.com/openurl?genre=book&isbn=978-1-84882-935-0

Data Mining(数据挖掘)

Charu C. Aggarwal

http://link.springer.com/openurl?genre=book&isbn=978-3-319-14142-8

Computational Geometry(计算几何)

Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars

http://link.springer.com/openurl?genre=book&isbn=978-3-540-77974-2

Robotics, Vision and Control(机器人,视觉与控制)

Peter Corke

http://link.springer.com/openurl?genre=book&isbn=978-3-319-54413-7

Statistical Analysis and Data Display(统计分析和数据展示)

Richard M. Heiberger, Burt Holland

http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2122-5

Statistics and Data Analysis for Financial Engineering(金融工程统计与数据分析)

David Ruppert, David S. Matteson

http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2614-5

Stochastic Processes and Calculus(随机过程与微积分)

Uwe Hassler

http://link.springer.com/openurl?genre=book&isbn=978-3-319-23428-1

Statistical Analysis of Clinical Data on a Pocket Calculator(袖珍计算器上的临床数据统计分析)

Ton J. Cleophas, Aeilko H. Zwinderman

http://link.springer.com/openurl?genre=book&isbn=978-94-007-1211-9

Clinical Data Analysis on a Pocket Calculator(袖珍计算器的临床数据分析)

Ton J. Cleophas, Aeilko H. Zwinderman

http://link.springer.com/openurl?genre=book&isbn=978-3-319-27104-0

The Data Science Design Manual(数据科学设计手册)

Steven S. Skiena

http://link.springer.com/openurl?genre=book&isbn=978-3-319-55444-0

An Introduction to Machine Learning(机器学习导论)

Miroslav Kubat

http://link.springer.com/openurl?genre=book&isbn=978-3-319-63913-0

Guide to Discrete Mathematics(离散数学指南)

Gerard O’Regan

http://link.springer.com/openurl?genre=book&isbn=978-3-319-44561-8

Introduction to Time Series and Forecasting(时间序列和预测简介)

Peter J. Brockwell, Richard A. Davis

http://link.springer.com/openurl?genre=book&isbn=978-3-319-29854-2

Multivariate Calculus and Geometry(多元微积分和几何)

Seán Dineen

http://link.springer.com/openurl?genre=book&isbn=978-1-4471-6419-7

Statistics and Analysis of Scientific Data(科学数据统计与分析)

Massimiliano Bonamente

http://link.springer.com/openurl?genre=book&isbn=978-1-4939-6572-4

Modelling Computing Systems(建模计算系统)

Faron Moller, Georg Struth

http://link.springer.com/openurl?genre=book&isbn=978-1-84800-322-4

Search Methodologies(搜索方法论)

Edmund K. Burke, Graham Kendall

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-6940-7

Linear Algebra Done Right(线性代数应该这样学)

Sheldon Axler

http://link.springer.com/openurl?genre=book&isbn=978-3-319-11080-6

Linear Algebra(线性代数)

Jörg Liesen, Volker Mehrmann

http://link.springer.com/openurl?genre=book&isbn=978-3-319-24346-7

Algebra(代数)

Serge Lang

http://link.springer.com/openurl?genre=book&isbn=978-1-4613-0041-0

Understanding Analysis(理解分析学)

Stephen Abbott

http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2712-8

Linear Programming(线性规划)

Robert J Vanderbei

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-7630-6

Understanding Statistics Using R(通过R语言学习统计学)

Randall Schumacker, Sara Tomek

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-6227-9

An Introduction to Statistical Learning(统计学习导论)

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-7138-7

Statistical Learning from a Regression Perspective(回归视角的统计学习)

Richard A. Berk

http://link.springer.com/openurl?genre=book&isbn=978-3-319-44048-4

Applied Partial Differential Equations(应用偏微分方程)

J. David Logan

http://link.springer.com/openurl?genre=book&isbn=978-3-319-12493-3

Robotics(机器人技术)

Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, Giuseppe Oriolo

http://link.springer.com/openurl?genre=book&isbn=978-1-84628-642-1

Regression Modeling Strategies(回归建模策略)

Frank E. Harrell , Jr.

http://link.springer.com/openurl?genre=book&isbn=978-3-319-19425-7

A Modern Introduction to Probability and Statistics(概率统计的现代视角导论)

F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester

http://link.springer.com/openurl?genre=book&isbn=978-1-84628-168-6

The Python Workbook(Python手册)

Ben Stephenson

http://link.springer.com/openurl?genre=book&isbn=978-3-319-14240-1

Machine Learning in Medicine — a Complete Overview(医学中的机器学习-完整概述)

Ton J. Cleophas, Aeilko H. Zwinderman

http://link.springer.com/openurl?genre=book&isbn=978-3-319-15195-3

Object-Oriented Analysis, Design and Implementation(面向对象的分析,设计与实现)

Brahma Dathan, Sarnath Ramnath

http://link.springer.com/openurl?genre=book&isbn=978-3-319-24280-4

Introduction to Data Science(数据科学导论)

Laura Igual, Santi Seguí

http://link.springer.com/openurl?genre=book&isbn=978-3-319-50017-1

Applied Predictive Modeling(应用预测建模)

Max Kuhn, Kjell Johnson

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-6849-3

Python For ArcGIS(面向ArcGIS的Python指南)

Laura Tateosian

http://link.springer.com/openurl?genre=book&isbn=978-3-319-18398-5

Concise Guide to Databases(简明数据库指南)

Peter Lake, Paul Crowther

http://link.springer.com/openurl?genre=book&isbn=978-1-4471-5601-7

Digital Image Processing(数字图像处理)

Wilhelm Burger, Mark J. Burge

http://link.springer.com/openurl?genre=book&isbn=978-1-4471-6684-9

Bayesian Essentials with R(通过R学习贝叶斯基础)

Jean-Michel Marin, Christian P. Robert

http://link.springer.com/openurl?genre=book&isbn=978-1-4614-8687-9

Robotics, Vision and Control(机器人,视觉与控制)

Peter Corke

http://link.springer.com/openurl?genre=book&isbn=978-3-642-20144-8

Foundations of Programming Languages(编程语言基础)

Kent D. Lee

http://link.springer.com/openurl?genre=book&isbn=978-3-319-70790-7

Introduction to Artificial Intelligence(人工智能导论)

Wolfgang Ertel

http://link.springer.com/openurl?genre=book&isbn=978-3-319-58487-4

Introduction to Deep Learning(深度学习导论)

Sandro Skansi

http://link.springer.com/openurl?genre=book&isbn=978-3-319-73004-2

Linear Algebra and Analytic Geometry for Physical Sciences(物理科学的线性代数和解析几何)

Giovanni Landi, Alessandro Zampini

http://link.springer.com/openurl?genre=book&isbn=978-3-319-78361-1

Applied Linear Algebra(应用线性代数)

Peter J. Olver, Chehrzad Shakiban

http://link.springer.com/openurl?genre=book&isbn=978-3-319-91041-3

Neural Networks and Deep Learning(神经网络与深度学习)

Charu C. Aggarwal

http://link.springer.com/openurl?genre=book&isbn=978-3-319-94463-0

Data Science and Predictive Analytics(数据科学与预测分析)

Ivo D. Dinov

http://link.springer.com/openurl?genre=book&isbn=978-3-319-72347-1

Analysis for Computer Scientists(面向计算机科学家的分析学)

Michael Oberguggenberger, Alexander Ostermann

http://link.springer.com/openurl?genre=book&isbn=978-3-319-91155-7

Excel Data Analysis(Excel数据分析)

Hector Guerrero

http://link.springer.com/openurl?genre=book&isbn=978-3-030-01279-3

A Beginners Guide to Python 3 Programming(Python 3编程入门指南)

John Hunt

http://link.springer.com/openurl?genre=book&isbn=978-3-030-20290-3

Advanced Guide to Python 3 Programming(Python 3编程高级指南)

John Hunt

http://link.springer.com/openu

文章来源:知乎 AINLP

标签

机器学习
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