Introduction to Data Science and Machine Learning
"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...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2020
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_67387 | ||
| 005 | 20210420 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210420s2020 xx |||||o ||| 0|eng d | ||
| 020 | |a intechopen.77469 | ||
| 020 | |a 9781838803346 | ||
| 020 | |a 9781838803339 | ||
| 020 | |a 9781838803711 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5772/intechopen.77469 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a UNF |2 bicssc | |
| 100 | 1 | |a Sud, Keshav |4 edt | |
| 700 | 1 | |a Erdogmus, Pakize |4 edt | |
| 700 | 1 | |a Kadry, Seifedine |4 edt | |
| 700 | 1 | |a Sud, Keshav |4 oth | |
| 700 | 1 | |a Erdogmus, Pakize |4 oth | |
| 700 | 1 | |a Kadry, Seifedine |4 oth | |
| 245 | 1 | 0 | |a Introduction to Data Science and Machine Learning |
| 260 | |b IntechOpen |c 2020 | ||
| 300 | |a 1 electronic resource (232 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a "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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Data mining |2 bicssc | |
| 653 | |a Data mining | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/7664/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/67387 |7 0 |z DOAB: description of the publication |