Items related to Hands-On Recommendation Systems with Python: Start...
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python - Softcover
Synopsis
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 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. 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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Search results for Hands-On Recommendation Systems with Python: Start...
Seller Image
Hands-On Recommendation Systems with Python
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Seller rating 5 out of 5 stars
Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail. Seller Inventory # OTV.1788993756.VG
Quantity: 1 available
Stock Image
Hands-On Recommendation Systems with Python
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.7. Seller Inventory # G1788993756I3N00
Quantity: 1 available
Stock Image
Hands-On Recommendation Systems with Python : Start Building Powerful and Personalized, Recommendation Engines with Python
Published by
Packt Publishing, Limited, 2018
ISBN 10: 1788993756
ISBN 13: 9781788993753
Used
Softcover
Seller: Better World Books, Mishawaka, IN, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Used book that is in clean, average condition without any missing pages. Seller Inventory # 18310840-6
Quantity: 3 available
Seller Image
Hands-On Recommendation Systems with Python
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 33433074-n
Quantity: Over 20 available
Stock Image
Hands-On Recommendation Systems with Python
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2912160182944
Quantity: Over 20 available
Seller Image
Hands-On Recommendation Systems with Python (Paperback or Softback)
Published by
Packt Publishing 7/27/2018, 2018
ISBN 10: 1788993756
ISBN 13: 9781788993753
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Hands-On Recommendation Systems with Python 0.58. Book. Seller Inventory # BBS-9781788993753
Quantity: 5 available
Seller Image
Hands-On Recommendation Systems with Python
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 33433074
Quantity: Over 20 available
Stock Image
Hands-On Recommendation Systems with Python
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781788993753
Quantity: Over 20 available
Stock Image
Hands-On Recommendation Systems with Python
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781788993753
Quantity: Over 20 available
Seller Image
Hands-On Recommendation Systems with Python
Published by
Packt Publishing Limited, GB, 2018
ISBN 10: 1788993756
ISBN 13: 9781788993753
New
Paperback
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: 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. Seller Inventory # LU-9781788993753
Quantity: Over 20 available