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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Rounak Banik

(ebook) (audiobook) (audiobook) Książka w języku 1
Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Rounak Banik - okladka książki

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Rounak Banik - okladka książki

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Rounak Banik - audiobook MP3

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Rounak Banik - audiobook CD

Autor:
Rounak Banik
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
146
Dostępne formaty:
     PDF
     ePub
     Mobi
Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether it's friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.

This book shows you how to do just that. You will learn about the 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 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. You'll use collaborative filters to 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 a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains.

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O autorze książki

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.

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