Description: Further DetailsTitle: Hands-On Recommendation Systems with PythonCondition: NewSubtitle: Start building powerful and personalized, recommendation engines with PythonISBN-10: 1788993756EAN: 9781788993753ISBN: 9781788993753Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 07/31/2018Description: 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 webKey FeaturesBuild industry-standard recommender systemsOnly familiarity with Python is requiredNo need to wade through complicated machine learning theory to use this bookBook 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 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.What you will learnGet to grips with the different kinds of recommender systemsMaster data-wrangling techniques using the pandas libraryBuilding an IMDB Top 250 CloneBuild a content based engine to recommend movies based on movie metadataEmploy data-mining techniques used in building recommendersBuild industry-standard collaborative filters using powerful algorithmsBuilding Hybrid Recommenders that incorporate content based and collaborative flteringWho this book is for If you are a Python developer and want to develop applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques will be helpful, but not mandatory.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Rounak BanikGenre: Computing & InternetRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Hands-On Recommendation Systems with Python
Title: Hands-On Recommendation Systems with Python
Subtitle: Start building powerful and personalized, recommendation engines
ISBN-10: 1788993756
EAN: 9781788993753
ISBN: 9781788993753
Release Date: 07/31/2018
Release Year: 2018
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
Number of Pages: 146 Pages
Language: English
Publication Name: Hands-On Recommendation Systems with Python : Start Building Powerful and Personalized, Recommendation Engines with Python
Publisher: Packt Publishing, The Limited
Publication Year: 2018
Subject: Intelligence (Ai) & Semantics, E-Commerce / Internet Marketing, Natural Language Processing, Data Processing, Databases / Data Mining, Programming Languages / Python
Type: Textbook
Item Length: 3.6 in
Author: Rounak Banik
Subject Area: Computers, Business & Economics
Item Width: 3 in
Format: Trade Paperback
