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

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781801070850

Length 476 pages

Edition 1st Edition

Languages

JavaScript

Tools

Danfo.js

Concepts

Data Analysis

Authors (2):

Stephen Oni

Rising Odegua

View More author details

Table of Contents (18) Chapters

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

Chapter 10: Introduction to TensorFlow.js

In the previous chapter, you were introduced to the basics of machine learning (ML), and you learned some theoretical foundations that are required in order to build and use ML models.

In this chapter, we'll introduce you to an efficient and popular ML library in JavaScript called TensorFlow.js. By the end of this chapter, you'll know how to install and use TensorFlow.js, how to create tensors, how to operate on tensors using the Core application programming interface (API), as well as how to build a regression model using TensorFlow.js's Layer API.

In this chapter, we will cover the following topics: