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Julia Programming Projects

You're reading from   Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788292740
Length 500 pages
Edition 1st Edition
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Author (1):
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Adrian Salceanu Adrian Salceanu
Author Profile Icon Adrian Salceanu
Adrian Salceanu
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Julia Programming FREE CHAPTER 2. Creating Our First Julia App 3. Setting Up the Wiki Game 4. Building the Wiki Game Web Crawler 5. Adding a Web UI for the Wiki Game 6. Implementing Recommender Systems with Julia 7. Machine Learning for Recommender Systems 8. Leveraging Unsupervised Learning Techniques 9. Working with Dates, Times, and Time Series 10. Time Series Forecasting 11. Creating Julia Packages 12. Other Books You May Enjoy

Understanding recommender systems

In its broadest definition, a recommender system (RS) is a technique that's used for providing suggestions for items that are useful to a person. These suggestions are meant to help in various decision-making processes, usually related to buying or consuming a certain category of products or services. They can be about buying a book, listening to a song, watching a movie, eating out at a certain restaurant, reading a news article, or picking the hotel for your next holiday.

People have relied on recommendations pretty much since the beginning of history. Some RS researchers talk about the first recommendations as being the first orally transmitted information about dangerous plants, animals, or places. Others think that recommendations systems functioned even before language, by simply observing the effects on other humans of consuming plants...

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