Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript

Odegua, Rising, Oni, Stephen

Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript
  • 出版商: Packt Publishing
  • 出版日期: 2021-09-24
  • 售價: $1,880
  • 貴賓價: 9.5 折 $1,786
  • 語言: 英文
  • 頁數: 476
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1801070857
  • ISBN-13: 9781801070850
  • 相關分類: JavaScript、Data Science、Machine Learning

    • 立即出貨 (庫存=1)

買這商品的人也買了...

相關主題

商品描述

Key Features

  • Build microservices to perform data transformation and ML model serving in JavaScript
  • Explore what Danfo.js is and how it helps with data analysis and data visualization
  • Combine Danfo.js and TensorFlow.js for machine learning

Book Description

Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications.

Starting with an overview of modern JavaScript, you'll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You'll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you'll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.

By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.

What you will learn

  • Perform data experimentation and analysis with Danfo.js and Dnotebook
  • Build machine learning applications using Danfo.js integrated with TensorFlow.js
  • Connect Danfo.js with popular database applications to aid data analysis
  • Create a no-code data analysis and handling system using internal libraries
  • Develop a recommendation system with Danfo.js and TensorFlow.js
  • Build a Twitter analytics dashboard for sentiment analysis and other types of data insights

Who this book is for

This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.

商品描述(中文翻譯)

主要特點


  • 使用JavaScript構建微服務，進行數據轉換和機器學習模型服務

  • 探索Danfo.js的功能，以及它如何幫助數據分析和數據可視化

  • 結合Danfo.js和TensorFlow.js進行機器學習

書籍描述

大多數數據分析師使用Python和pandas進行數據處理，因為這些庫提供了便利和高性能。然而，JavaScript開發人員一直希望在瀏覽器中也能使用機器學習。本書專注於介紹Danfo.js如何將數據處理、分析和機器學習工具帶給JavaScript開發人員，以及如何充分利用這個庫來構建數據驅動的應用程序。

從現代JavaScript的概述開始，您將學習使用Danfo.js和Dnotebook進行數據分析和轉換。本書還向您展示如何加載不同的數據集，通過執行操作（如處理缺失值和字符串操作）來結合和分析它們。您還將掌握使用Danfo.js和Plotly進行數據繪圖、可視化、聚合和分組操作。隨著進一步的學習，您將創建一個無代碼數據分析和處理系統，並使用create-react-app、react-table、react-chart、Draggable.js和tailwindcss，了解如何使用TensorFlow.js和Danfo.js構建推薦系統。最後，您將使用Danfo.js、Next.js、node-nlp和Twit.js構建一個由Danfo.js驅動的Twitter分析儀表板。

通過閱讀本書，您將能夠在服務器端Node.js或瀏覽器中將數據分析、可視化和機器學習功能嵌入任何JavaScript應用程序中。

您將學到什麼


  • 使用Danfo.js和Dnotebook進行數據實驗和分析

  • 使用集成了TensorFlow.js的Danfo.js構建機器學習應用程序

  • 將Danfo.js連接到流行的數據庫應用程序，以幫助數據分析

  • 使用內部庫創建無代碼數據分析和處理系統

  • 使用Danfo.js和TensorFlow.js開發推薦系統

  • 構建一個用於情感分析和其他類型數據洞察的Twitter分析儀表板

本書適合對象

本書適合數據分析師、數據科學家和希望在JavaScript/Node.js環境中創建數據驅動應用程序的JavaScript開發人員。需要具備中級水平的JavaScript編程和使用pandas進行數據科學的知識。

作者簡介

Rising Odegua is the co-creator of Danfo.js and Dnotebook. He is a software and machine learning engineer with experience building data-driven applications in languages such as Python and JavaScript. Rising is actively engaged in building the developer ecosystem by giving talks, providing direct/indirect mentorship, working on open source projects, hosting meetups, and writing tutorials.

Stephen Oni is the co-creator of Danfo.js and Dnotebook. He is a software developer at Datopian, building data-driven platforms and tools. He is also an open source developer building tools that intersect the web and machine learning.

作者簡介(中文翻譯)

Rising Odegua 是 Danfo.js 和 Dnotebook 的共同創作者。他是一位軟體和機器學習工程師，擁有使用 Python 和 JavaScript 等語言建立數據驅動應用的經驗。Rising 積極參與建立開發者生態系統，通過演講、提供直接/間接指導、參與開源項目、主持聚會和撰寫教程等方式。

Stephen Oni 是 Danfo.js 和 Dnotebook 的共同創作者。他是 Datopian 的軟體開發人員，致力於建立數據驅動平台和工具。他也是一位開源開發人員，致力於建立網絡和機器學習交叉的工具。

目錄大綱

  1. An Overview of Modern JavaScript
  2. Dnotebook - An Interactive Computing Environment for JavaScript
  3. Getting Started with Danfo.js
  4. Data Analysis, Wrangling, and Transformation
  5. Data Visualization with Plotly.js
  6. Data Visualization with Danfo.js
  7. Data Aggregation and Group Operations
  8. Creating a No-Code Data Analysis/Handling System
  9. Basics of Machine Learning
  10. Introduction to TensorFlow.js
  11. Building a Recommendation System with Danfo.js and TensorFlow.js
  12. Building a Twitter Analysis Dashboard
  13. Appendix: Essential JavaScript Concepts

目錄大綱(中文翻譯)

- 現代 JavaScript 概述
- Dnotebook - 一個互動式的 JavaScript 計算環境
- 開始使用 Danfo.js
- 數據分析、整理和轉換
- 使用 Plotly.js 進行數據可視化
- 使用 Danfo.js 進行數據可視化
- 數據聚合和分組操作
- 創建一個無代碼數據分析/處理系統
- 機器學習基礎
- TensorFlow.js 簡介
- 使用 Danfo.js 和 TensorFlow.js 構建推薦系統
- 構建 Twitter 分析儀表板
- 附錄：JavaScript 基本概念

類似商品