Feature Engineering for Machine Learning
Alice Zheng; Amanda Casari
Informasi Umum
Kode
24.01.1259
Klasifikasi
006.31 - Machine Learning
Jenis
Buku - Circulation (Dapat Dipinjam)
Subjek
Machine Learning
No. Rak
4
Dilihat
20 kali
Informasi Lainnya
Abstraksi
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features?the numeric representations of raw data?into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.
Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.
Koleksi & Sirkulasi
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Pengarang
| Nama | Alice Zheng; Amanda Casari |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | O'Reilly Media |
| Kota | Sebastopol |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 1.000,00 |
| Jenis | Sirkulasi |
