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Building Data-Driven Applications with Danfo.js

You're reading from   Building Data-Driven Applications with Danfo.js A practical guide to data analysis and machine learning using JavaScript

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801070850
Length 476 pages
Edition 1st Edition
Languages
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Authors (2):
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Stephen Oni Stephen Oni
Author Profile Icon Stephen Oni
Stephen Oni
Rising Odegua Rising Odegua
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Rising Odegua
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Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: An Overview of Modern JavaScript FREE CHAPTER 3. Section 2: Data Analysis and Manipulation with Danfo.js and Dnotebook
4. Chapter 2: Dnotebook - An Interactive Computing Environment for JavaScript 5. Chapter 3: Getting Started with Danfo.js 6. Chapter 4: Data Analysis, Wrangling, and Transformation 7. Chapter 5: Data Visualization with Plotly.js 8. Chapter 6: Data Visualization with Danfo.js 9. Chapter 7: Data Aggregation and Group Operations 10. Section 3: Building Data-Driven Applications
11. Chapter 8: Creating a No-Code Data Analysis/Handling System 12. Chapter 9: Basics of Machine Learning 13. Chapter 10: Introduction to TensorFlow.js 14. Chapter 11: Building a Recommendation System with Danfo.js and TensorFlow.js 15. Chapter 12: Building a Twitter Analysis Dashboard 16. Chapter 13: Appendix: Essential JavaScript Concepts 17. Other Books You May Enjoy

What is a recommendation system?

A recommendation system is any system that can predict a preference or a usefulness score given to an item by a user. Using this preference score, it can recommend items to the user.

Items here can be digital products such as movies, music, books, and even clothes. The goal of every recommendation system is to be able to recommend items that the user will like.

Recommendation systems are very popular and can be found almost everywhere; for example:

  • Movie streaming platforms such as Netflix, Amazon Prime, Hulu, and Disney+ use recommendation systems for recommending movies to you.
  • Social media websites such as Facebook, Twitter, and Instagram use recommendation systems for recommending friends to connect with.
  • E-commerce websites such as Amazon and AliExpress use recommendation systems for recommending products such as clothes, books, and electronics.

Recommendation systems are mostly built using data from user-item interaction...

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