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转载自 | AINLP
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
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