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Free machine learning books from Springer

Springer recently release a lot of useful machine learning books. Here is the list for quick reference as csv file

title link link_url
The Elements of Statistical Learning
Introductory Time Series with R
A Beginner’s Guide to R
Introduction to Evolutionary Computing
Data Analysis
Linear and Nonlinear Programming
Introduction to Partial Differential Equations
Fundamentals of Robotic Mechanical Systems
Data Structures and Algorithms with Python
Introduction to Partial Differential Equations
Methods of Mathematical Modelling
LaTeX in 24 Hours
Introduction to Statistics and Data Analysis
Principles of Data Mining
Computer Vision
Data Mining
Computational Geometry
Robotics, Vision and Control
Statistical Analysis and Data Display
Statistics and Data Analysis for Financial Engineering
Stochastic Processes and Calculus
Statistical Analysis of Clinical Data on a Pocket Calculator
Clinical Data Analysis on a Pocket Calculator
The Data Science Design Manual
An Introduction to Machine Learning
Guide to Discrete Mathematics
Introduction to Time Series and Forecasting
Multivariate Calculus and Geometry
Statistics and Analysis of Scientific Data
Modelling Computing Systems
Search Methodologies
Linear Algebra Done Right
Linear Algebra
Understanding Analysis
Linear Programming
Understanding Statistics Using R
An Introduction to Statistical Learning
Statistical Learning from a Regression Perspective
Applied Partial Differential Equations
Regression Modeling Strategies
A Modern Introduction to Probability and Statistics
The Python Workbook
Machine Learning in Medicine — a Complete Overview
Object-Oriented Analysis, Design and Implementation
Introduction to Data Science
Applied Predictive Modeling
Python For ArcGIS
Concise Guide to Databases
Digital Image Processing
Bayesian Essentials with R
Robotics, Vision and Control
Foundations of Programming Languages
Introduction to Artificial Intelligence
Introduction to Deep Learning
Linear Algebra and Analytic Geometry for Physical Sciences
Applied Linear Algebra
Neural Networks and Deep Learning
Data Science and Predictive Analytics
Analysis for Computer Scientists
Excel Data Analysis
A Beginners Guide to Python 3 Programming
Advanced Guide to Python 3 Programming