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Learn How to Make Your Own Recommender System in an Afternoon.
Recommender systems are one of the most visible applications of machine learning and their uncanny ability to convert our unspoken actions into items we like is both addicting and concerning. Recommender systems, though, are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment. This book will get you up and running with the basics as well as the steps to coding your own recommender system using Python. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign.
Is This Book Right For Me?
The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.
What You Will Learn:
• How to set up a free and easy sandbox environment using Jupyter Notebook • How to prepare your data for processing • How to code a collaborative filtering model • How to code a content-based filtering model • How recommender systems are evaluated • What you need to know about privacy & ethics • What the future of Recommender Systems might look likePlease feel welcome to join this introductory course by buying a copy, or sending a free sample to your preferred device.
From the Publisher
Add Machine Learning to Your Skill Stack in 2023
Plain English Explanations
All technical concepts are explained in plain English to keep you learning all the way to the final chapter!
Video Content Included
Enjoy access to video classes and code demonstrations to reinforce fundamental concepts.
Chapter Quizzes
Test your knowledge and technical understanding with practical chapter quizzes along the way.
Code Exercises
Learn how to code your own basic prediction models using Python and datasets available online.
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Python Code Examples
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Pre-requisites
None (basic Python & statistics useful) Basic Python Basic Python None None
Video Content
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ASIN : B07DWS346Y
Publisher : Scatterplot Press (June 20, 2018)
Publication date : June 20, 2018
Language : English
File size : 9781 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 127 pages
Page numbers source ISBN : 1726769038
