| Judul | Introduction to Data Science and Machine Learning / Keshav Sud, Pakize Erdogmus, Seifedine Kadry |
| Pengarang | Keshav Sud Pakize Erdogmus Seifedine Kadry |
| Penerbitan | Lausanne : InTechOpen, 2020 |
| Deskripsi Fisik | 236p. :ill. |
| ISBN | 978-1-83880-371-1 |
| Subjek | DATA SCIENCE, MACHINE LEARNING |
| Catatan | “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. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://oer.unair.ac.id/files/original/98b3c1083324d3da90832d3288931ea9.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 050525192 | 006.31 Int | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000161134 | ||
| 005 | 20250429102702 | ||
| 007 | ta | ||
| 008 | 250429################|##########|#|## | ||
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| 082 | # | # | $a 006.31 |
| 084 | # | # | $a 006.31 Int |
| 245 | # | # | $a Introduction to Data Science and Machine Learning /$c Keshav Sud, Pakize Erdogmus, Seifedine Kadry |
| 260 | # | # | $a Lausanne :$b InTechOpen,$c 2020 |
| 300 | # | # | $a 236p. : $b ill. |
| 505 | # | # | $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. |
| 650 | # | # | $a DATA SCIENCE, MACHINE LEARNING |
| 700 | 0 | # | $a Keshav Sud |
| 700 | 0 | # | $a Pakize Erdogmus |
| 700 | 0 | # | $a Seifedine Kadry |
| 856 | # | # | $a https://oer.unair.ac.id/files/original/98b3c1083324d3da90832d3288931ea9.pdf |
| 990 | # | # | $a 050525192 |
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