TY  - CHAP
AU  - Laura M. Castro
ED  - Keshav Sud
ED  - Pakize Erdogmus
ED  - Seifedine Kadry
Y1  - 2020-03-25
PY  - 2020
T1  - Software Design for Success
N2  - “Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.
BT  - Introduction to Data Science and Machine Learning
SP  - Ch. 3
UR  - https://doi.org/10.5772/intechopen.86538
DO  - 10.5772/intechopen.86538
SN  - 978-1-83880-334-6
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-23
ER  -