Hands-On Recommendation Systems with Python Rounak Banik Packt Publishing Ltd
Hands-On Recommendation Systems with
Python Rounak Banik Packt Publishing Ltd
Start building powerful and personalized, recommendation engines with Python Packt
Publishing Ltd 2018-07-31 Rounak Banik in Computers ISBN 9781788992534
Hands-On Recommendation Systems with Python
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Title : Hands-On Recommendation Systems with Python
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Author : Rounak Banik
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Publisher : Packt Publishing Ltd - 2018-07-31
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ISBN-13 : 9781788992534
ISBN-10 : 1788992539
Downloaded Page : 146
List Price : 23.99 USD
Retail Price : 14.59 USD
PDF Offers/Free = 0.00 USD
With Hands-On Recommendation Systems with Python, learn the tools and techniques
required in building various kinds of powerful recommendation systems (collaborative,
knowledge and content based) and deploying them to the web Key Features ...
Hands-On Recommendation Systems with Python Rounak Banik Packt Publishing Ltd
With Hands-On Recommendation Systems with Python, learn the tools and techniques
required in building various kinds of powerful recommendation systems (collaborative,
knowledge and content based) and deploying them to the web Key Features Build
industry-standard recommender systems Only familiarity with Python is required No
need to wade through complicated machine learning theory to use this book Book
Description Recommendation systems are at the heart of almost every internet business
today; from Facebook to Netflix 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 theorya€”you'll get started with building and learning about recommenders as
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quickly as possible.. In this book, you will build an IMDB Top 250 clone, a content-based
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engine that works on movie metadata. You'll use collaborative filters to make use of
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customer behavior data, and a Hybrid Recommender that incorporates content based
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and collaborative filtering techniques With this book, all you need to get started with
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building recommendation systems is a familiarity with Python, and by the time you're
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fnished, you will have a great grasp of how recommenders work and be in a strong
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position to apply the techniques that you will learn to your own problem domains. What
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you will learn Get to grips with the different kinds of recommender systems Master data-
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wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a
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content based engine to recommend movies based on movie metadata Employ data-
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mining techniques used in building recommenders Build industry-standard collaborative
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filters using powerful algorithms Building Hybrid Recommenders that incorporate
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content based and collaborative fltering Who this book is for If you are a Python
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developer and want to develop applications for social networking, news personalization
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or smart advertising, this is the book for you. Basic knowledge of machine learning
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techniques will be helpful, but not mandatory.
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Hands-On Recommendation Systems with Python Download Hands-On
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Recommendation Systems with Python ebook PDF or Read Online books in PDF, EPUB,
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With Hands-On Recommendation Systems with Python, learn the tools and techniques
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required in building various kinds of powerful recommendation systems (collaborative,
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knowledge and content based) and deploying them to the web Key Features ...
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