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

From IFORS Developing Countries Online Resources
Jump to: navigation, search
Line 6: Line 6:
 
{| class="wikitable"
 
{| class="wikitable"
 
|-
 
|-
 +
! S. No.
 
! Book Title
 
! Book Title
 
! Author
 
! Author
 
! Open URL
 
! Open URL
 
|-
 
|-
 +
| 1
 
| The Elements of Statistical Learning
 
| The Elements of Statistical Learning
 
| Trevor Hastie, Robert Tibshirani, Jerome Friedman
 
| Trevor Hastie, Robert Tibshirani, Jerome Friedman
 
| http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7
 
| http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7
 
|-
 
|-
 +
| 2
 
| Introductory Time Series with R
 
| Introductory Time Series with R
 
| Paul S.P. Cowpertwait, Andrew V. Metcalfe
 
| Paul S.P. Cowpertwait, Andrew V. Metcalfe
 
| http://link.springer.com/openurl?genre=book&isbn=978-0-387-88698-5
 
| 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
 
|}
 
|}
−
 
  
 
link to material: https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189
 
link to material: https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189

Revision as of 10:21, 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

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

Retrieved from "https://ifors.org/developing_countries/index.php?title=Springer_has_released_65_Machine_Learning_and_Data_Books_for_Free&oldid=1864"