下载!Springer 面向公众开放数据挖掘、编程、机器学习、数学、深度学习、数据科学等 65本电子书籍…

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施普林格(Springer)是世界著名的科技期刊、图书出版公司,这次特殊时期期间面向公众免费开放了一批社科人文,自然科学等领域的正版电子书籍(据说是400多本),towardsdatascience 上有学者将其中65本机器学习和数据科学以及统计相关的免费教材下载链接整理了出来,我试了一下,无需注册,可以直接下载相关的PDF书籍,相当方便:Springer has released 65 Machine Learning and Data books for free(https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189)。

看了一下这份书单包括的书籍还是很棒的,包括数学类(多元微积分和几何、计算几何、偏微分、代数、线性代数、线性规划、概率和统计、统计学、统计学习、数学建模等)、编程类(数据结构与算法、Python编程、R语言、编程语言基础、面向对象分析和设计、数据库等)、数据挖掘、数据分析、数据科学、机器学习、人工智能、深度学习、计算机视觉,机器人等相关的电子书,甚至包括如何学习LaTex,远比想象的丰富很多。

这份清单的第一本书籍就是经典的“统计学习基础(ESL,The Elements of Statistical Learning)”, 进入书籍页面后,直接点击“Download PDF” 即可单独下载该书电子版:

Reddit上有网友提供了一个Google Drive的打包下载链接,包括其中64本书籍的PDF打包下载,可以直接下载:

https://www.reddit.com/r/opendirectories/comments/g91u12/google_drive_with_64_books_from_springer_about

https://drive.google.com/drive/folders/1rDJvZsz8EEuVVgZ43pwSvFRRKUo2TIIY

这份书籍清单和链接如下,我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

关注公众号逆锋起笔,回复”Springer”获取打包下载链接

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

关注公众号逆锋起笔,回复”Springer”获取打包下载链接

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

关注公众号逆锋起笔,回复”Springer”获取打包下载链接

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

关注公众号逆锋起笔,回复”Springer”获取打包下载链接

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

关注公众号逆锋起笔,回复”Springer”获取打包下载链接

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/openurl?genre=book&isbn=978-3-030-25943-3

感兴趣的同学获取打包下载网盘链接:

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