Difference between revisions of "Springer has released 65 Machine Learning and Data Books for Free"

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| 1
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| The Elements of Statistical Learning
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| Trevor Hastie, Robert Tibshirani, Jerome Friedman
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| http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7
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| 2
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| Introductory Time Series with R
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| Paul S.P. Cowpertwait, Andrew V. Metcalfe
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| http://link.springer.com/openurl?genre=book&isbn=978-0-387-88698-5
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| 3
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| A Beginner’s Guide to R
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| Alain Zuur, Elena N. Ieno, Erik Meesters
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| http://link.springer.com/openurl?genre=book&isbn=978-0-387-93837-0
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| 4
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| Introduction to Evolutionary Computing
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| A.E. Eiben, J.E. Smith
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| http://link.springer.com/openurl?genre=book&isbn=978-3-662-44874-8
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| 5
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| Data Analysis
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| Siegmund Brandt
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-03762-2
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| 6
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| Linear and Nonlinear Programming
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| David G. Luenberger, Yinyu Ye
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-18842-3
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| 7
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| Introduction to Partial Differential Equations
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| David Borthwick
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-48936-0
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| 8
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| Fundamentals of Robotic Mechanical Systems
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| Jorge Angeles
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-01851-5
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| 9
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| Data Structures and Algorithms with Python
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| Kent D. Lee, Steve Hubbard
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-13072-9
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| 10
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| Introduction to Partial Differential Equations
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| Peter J. Olver
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-02099-0
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| 11
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| Methods of Mathematical Modelling
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| Thomas Witelski, Mark Bowen
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| http://link.springer.com/openurl?genre=book&isbn=978-3-319-23042-9
 
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Revision as of 11:20, 1 May 2020

Hundreds of books are now free to download Springer has released hundreds of free books on a wide range of topics to the general public. The list, which includes 408 books in total, covers a wide range of scientific and technological topics. In order to save you some time, I have created one list of all the books (65 in number) that are relevant to the data and Machine Learning field.

Among the books, you will find those dealing with the mathematical side of the domain (Algebra, Statistics, and more), along with more advanced books on Deep Learning and other advanced topics. You also could find some good books in various programming languages such as Python, R, and MATLAB, etc.

S. No. Book Title Author Open URL
1 The Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7
2 Introductory Time Series with R Paul S.P. Cowpertwait, Andrew V. Metcalfe http://link.springer.com/openurl?genre=book&isbn=978-0-387-88698-5
3 A Beginner’s Guide to R Alain Zuur, Elena N. Ieno, Erik Meesters http://link.springer.com/openurl?genre=book&isbn=978-0-387-93837-0
4 Introduction to Evolutionary Computing A.E. Eiben, J.E. Smith http://link.springer.com/openurl?genre=book&isbn=978-3-662-44874-8
5 Data Analysis Siegmund Brandt http://link.springer.com/openurl?genre=book&isbn=978-3-319-03762-2
6 Linear and Nonlinear Programming David G. Luenberger, Yinyu Ye http://link.springer.com/openurl?genre=book&isbn=978-3-319-18842-3
7 Introduction to Partial Differential Equations David Borthwick http://link.springer.com/openurl?genre=book&isbn=978-3-319-48936-0
8 Fundamentals of Robotic Mechanical Systems Jorge Angeles http://link.springer.com/openurl?genre=book&isbn=978-3-319-01851-5
9 Data Structures and Algorithms with Python Kent D. Lee, Steve Hubbard http://link.springer.com/openurl?genre=book&isbn=978-3-319-13072-9
10 Introduction to Partial Differential Equations Peter J. Olver http://link.springer.com/openurl?genre=book&isbn=978-3-319-02099-0
11 Methods of Mathematical Modelling Thomas Witelski, Mark Bowen http://link.springer.com/openurl?genre=book&isbn=978-3-319-23042-9
12 LaTeX in 24 Hours Dilip Datta http://link.springer.com/openurl?genre=book&isbn=978-3-319-47831-9
13 Introduction to Statistics and Data Analysis Christian Heumann, Michael Schomaker, Shalabh http://link.springer.com/openurl?genre=book&isbn=978-3-319-46162-5
14 Principles of Data Mining Max Bramer http://link.springer.com/openurl?genre=book&isbn=978-1-4471-7307-6
15 Computer Vision Richard Szeliski http://link.springer.com/openurl?genre=book&isbn=978-1-84882-935-0
16 Data Mining Charu C. Aggarwal http://link.springer.com/openurl?genre=book&isbn=978-3-319-14142-8
17 Computational Geometry Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars http://link.springer.com/openurl?genre=book&isbn=978-3-540-77974-2
18 Robotics, Vision and Control Peter Corke http://link.springer.com/openurl?genre=book&isbn=978-3-319-54413-7
19 Statistical Analysis and Data Display Richard M. Heiberger, Burt Holland http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2122-5
20 Statistics and Data Analysis for Financial Engineering David Ruppert, David S. Matteson http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2614-5
21 Stochastic Processes and Calculus Uwe Hassler http://link.springer.com/openurl?genre=book&isbn=978-3-319-23428-1
22 Statistical Analysis of Clinical Data on a Pocket Calculator Ton J. Cleophas, Aeilko H. Zwinderman http://link.springer.com/openurl?genre=book&isbn=978-94-007-1211-9
23 Clinical Data Analysis on a Pocket Calculator Ton J. Cleophas, Aeilko H. Zwinderman http://link.springer.com/openurl?genre=book&isbn=978-3-319-27104-0
24 The Data Science Design Manual Steven S. Skiena http://link.springer.com/openurl?genre=book&isbn=978-3-319-55444-0
25 An Introduction to Machine Learning Miroslav Kubat http://link.springer.com/openurl?genre=book&isbn=978-3-319-63913-0
26 Guide to Discrete Mathematics Gerard O’Regan http://link.springer.com/openurl?genre=book&isbn=978-3-319-44561-8
27 Introduction to Time Series and Forecasting Peter J. Brockwell, Richard A. Davis http://link.springer.com/openurl?genre=book&isbn=978-3-319-29854-2
27 Introduction to Time Series and Forecasting Peter J. Brockwell, Richard A. Davis http://link.springer.com/openurl?genre=book&isbn=978-3-319-29854-2
28 Multivariate Calculus and Geometry Seán Dineen http://link.springer.com/openurl?genre=book&isbn=978-1-4471-6419-7
29 Statistics and Analysis of Scientific Data Massimiliano Bonamente http://link.springer.com/openurl?genre=book&isbn=978-1-4939-6572-4
30 Modelling Computing Systems Faron Moller, Georg Struth http://link.springer.com/openurl?genre=book&isbn=978-1-84800-322-4
31 Search Methodologies Edmund K. Burke, Graham Kendall http://link.springer.com/openurl?genre=book&isbn=978-1-4614-6940-7
32 Linear Algebra Done Right Sheldon Axler http://link.springer.com/openurl?genre=book&isbn=978-3-319-11080-6
33 Linear Algebra Jörg Liesen, Volker Mehrmann http://link.springer.com/openurl?genre=book&isbn=978-3-319-24346-7
34 Algebra Serge Lang http://link.springer.com/openurl?genre=book&isbn=978-1-4613-0041-0
35 Understanding Analysis Stephen Abbott http://link.springer.com/openurl?genre=book&isbn=978-1-4939-2712-8

link to material: https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189

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