| Judul | Public policy analytics : Code and context for data science in government / Ken Steif |
| Pengarang | Steif, Ken |
| Penerbitan | London : CRC Press, 2022 |
| Deskripsi Fisik | xxi, 206 p. :ill. ;26 cm. |
| ISBN | 978-0-367-50761-9 |
| Subjek | POLITICS AND GOVERMENT - DATA PROCESSING POLITICAL PLANNING - DATA PROCESSING |
| Abstrak | Contents 1. Indicators for transit-oriented development 2. Expanding the urban growth boundary 3. Intro to Geospatial machine learning, Part 1 4. Intro to Geospatial machine learning, Part 2 5. Geospatial risk modeling - predictive policing 6. People-based ML Models. 7. People-based ML Models: Algorithmic fairness 8. Predicting rideshare demand 7. |
| Catatan | Chapman & Hall/CRC Data Science Series |
| Bahasa | Inggris |
| Bentuk Karya | Bukan fiksi atau tidak didefinisikan |
| Target Pembaca | Tidak diketahui / tidak ditentukan |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 175922212 | 352.380 285 Ste p | Dapat dipinjam | Perpustakaan Pusat - KK KKB Koleksi Khusus |
Tersedia
pesan |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000149476 | ||
| 005 | 20250612020007 | ||
| 007 | ta | ||
| 008 | 250612###########################0#eng## | ||
| 020 | # | # | $a 978-0-367-50761-9 |
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| 100 | 0 | # | $a Steif, Ken |
| 245 | 1 | # | $a Public policy analytics : $b Code and context for data science in government /$c Ken Steif |
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| 300 | # | # | $a xxi, 206 p. : $b ill. ; $c 26 cm. |
| 500 | # | # | $a Chapman & Hall/CRC Data Science Series |
| 520 | # | # | $a Contents 1. Indicators for transit-oriented development 2. Expanding the urban growth boundary 3. Intro to Geospatial machine learning, Part 1 4. Intro to Geospatial machine learning, Part 2 5. Geospatial risk modeling - predictive policing 6. People-based ML Models. 7. People-based ML Models: Algorithmic fairness 8. Predicting rideshare demand 7. |
| 650 | # | # | $a POLITICAL PLANNING - DATA PROCESSING |
| 650 | # | # | $a POLITICS AND GOVERMENT - DATA PROCESSING |
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