Banik Hands-On Recommendation Systems with Python

Start building powerful and personalized, recommendation engines with Python
1. Auflage 2018
ISBN: 978-1-78899-253-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 146 Seiten

No detailed description available for "Hands-On Recommendation Systems with Python".

Autoren/Hrsg.

Banik, Rounak

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Getting Started with Recommender Systems
- Manipulating Data with the Pandas Library
- Building an IMDB Top 250 Clone with Pandas
- Building Content-Based Recommenders
- Getting Started with Data Mining Techniques
- Building Collaborative Filters
- Hybrid Recommenders

Über Autor(innen)

Banik Rounak:

Rounak Banik is a Young India Fellow and an ECE graduate from IIT Roorkee. He has worked as a software engineer at Parceed, a New York start-up, and Springboard, an EdTech start-up based in San Francisco and Bangalore. He has also served as a backend development instructor at Acadview, teaching Python and Django to around 35 college students from Delhi and Dehradun. He is an alumni of Springboard's data science career track. He has given talks at the SciPy India Conference and published popular tutorials on Kaggle and DataCamp.