Haslwanter, Thomas.
Overview
| Works: | 1 works in 2 publications in 1 languages | |
|---|---|---|
Titles
An Introduction to Statistics with Python = With Applications in the Life Sciences /
by:
SpringerLink (Online service); Haslwanter, Thomas.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
An Introduction to Statistics with Python = With Applications in the Life Sciences /
by:
SpringerLink (Online service); Haslwanter, Thomas.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
3D Kinematics
by:
Haslwanter, Thomas.; SpringerLink (Online service)
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
Hands-on Signal Analysis with Python = An Introduction /
by:
SpringerLink (Online service); Haslwanter, Thomas.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
An introduction to statistics with Python = with applications in the life sciences /
by:
Haslwanter, Thomas.; SpringerLink (Online service)
(Language materials, printed)
Subjects
Computer mathematics.
Signal processing.
Electrical engineering.
Quantitative research.
Automation.
Communications Engineering, Networks.
Python (Computer programming language)
Statistics and computing/Statistics Programs.
Statistics and Computing.
Speech processing systems.
Computer simulation.
Statistics .
Artificial intelligence—Data processing.
Data Science.
Biometry.
Data Analysis and Big Data.
Biostatistics.
Simulation and Modeling.
Engineering mathematics.
Statistics—Computer programs.
Statistics.
Mathematical statistics
Computational Science and Engineering.
Robotics.
Human mechanics
Mathematical models.
Kinematics
Statistics and Computing/Statistics Programs.
Programming Languages, Compilers, Interpreters.
Programming languages (Electronic computers).
Image processing.
Applied mathematics.
Mathematical and Computational Engineering.
Statistical Theory and Methods.
Statistical Software.
Mathematical statistics—Data processing.
Mathematical Modeling and Industrial Mathematics.
Statistics for Life Sciences, Medicine, Health Sciences.
Signal, Image and Speech Processing.
Robotics and Automation.