Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Rounak Banik
Informasi Umum
Kode
21.21.210
Klasifikasi
006.312 - Data mining
Jenis
Buku - Elektronik (E-Book)
Subjek
Data Mining, System Analysis,
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3
Dilihat
442 kali
Informasi Lainnya
Abstraksi
This book shows you how to do just that. You will learn about different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of linear algebra and machine learning theory, you'll get started with building and learning about recommenders as quickly as possible.
In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata, collaborative filters that make use of customer behavior data, and a hybrid recommender that incorporates content-based and collaborative filtering techniques.
With this book, all you need to get started with building recommendation systems is familiarity with Python, and by the time you're finished, you will have a great grasp of how recommenders work, and you will be in a strong position to apply the techniques learned to your own problem domains.
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Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Rounak Banik |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Packt publishing |
| Kota | Birmingham |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
