Langue: anglais
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
EUR 13,60
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Ajouter au panierEtat : Good. Used book that is in clean, average condition without any missing pages.
Vendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
EUR 15,08
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Ajouter au panierEtat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail.
EUR 28,90
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 7/27/2018, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 31,22
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Ajouter au panierPaperback or Softback. Etat : New. Hands-On Recommendation Systems with Python. Book.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 28,55
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 32,39
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Ajouter au panierEtat : New.
EUR 32,11
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 39,18
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Ajouter au panierPaperback. Etat : New. 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 DescriptionRecommendation 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.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 forIf 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.
Vendeur : GoldBooks, Denver, CO, Etats-Unis
EUR 36,06
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Ajouter au panierEtat : new.
Langue: anglais
Edité par Packt Publishing 2018-07, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 30,27
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 33,19
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 37
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 39,38
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Ajouter au panierEtat : New. 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 cus.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 36,08
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. 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 DescriptionRecommendation 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.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 forIf 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.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 36,30
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 33,88
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 38,93
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1788993756 ISBN 13 : 9781788993753
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 38,71
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 47,32
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.