Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript
暫譯: 使用 Danfo.js 建立數據驅動的應用程式：使用 JavaScript 進行數據分析和機器學習的實用指南
Odegua, Rising, Oni, Stephen
- 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
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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 建立微服務以執行數據轉換和機器學習模型服務
- 探索 Danfo.js 是什麼以及它如何幫助數據分析和數據可視化
- 將 Danfo.js 與 TensorFlow.js 結合以進行機器學習
**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性和性能。然而，JavaScript 開發者一直希望能在瀏覽器中使用機器學習。本書專注於 Danfo.js 如何將數據處理、分析和機器學習工具帶給 JavaScript 開發者，以及如何充分利用這個庫來構建數據驅動的應用程序。
本書從現代 JavaScript 的概述開始，涵蓋使用 Danfo.js 和 Dnotebook 進行數據分析和轉換。接著，書中將展示如何加載不同的數據集，通過處理缺失值和字符串操作等操作來結合和分析它們。您還將學習如何通過將 Danfo.js 與 Plotly 結合來進行數據繪圖、可視化、聚合和分組操作。隨著進展，您將創建一個無需編碼的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，您將構建一個由 Danfo.js、Next.js、node-nlp 和 Twit.js 驅動的 Twitter 分析儀表板。
在本書結束時，您將能夠在任何 JavaScript 應用程序中嵌入數據分析、可視化和機器學習功能，無論是在伺服器端的 Node.js 還是瀏覽器中。
**您將學到的內容**
- 使用 Danfo.js 和 Dnotebook 進行數據實驗和分析
- 使用整合了 TensorFlow.js 的 Danfo.js 構建機器學習應用程序
- 將 Danfo.js 與流行的數據庫應用程序連接以輔助數據分析
- 使用內部庫創建無需編碼的數據分析和處理系統
- 使用 Danfo.js 和 TensorFlow.js 開發推薦系統
- 為情感分析和其他類型的數據洞察構建 Twitter 分析儀表板
**本書適合誰**
本書適合希望在 JavaScript/Node.js 環境中創建數據驅動應用程序的數據分析師、數據科學家和 JavaScript 開發者。預期具備中級的 JavaScript 編程和使用 pandas 的數據科學知識。
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 等語言構建數據驅動應用的經驗。Rising 積極參與開發者生態系統的建設，通過演講、提供直接/間接的指導、參與開源項目、舉辦聚會和撰寫教程來貢獻。
Stephen Oni 是 Danfo.js 和 Dnotebook 的共同創作者。他是 Datopian 的軟體開發人員，負責構建數據驅動的平台和工具。他也是一位開源開發者，專注於構建交叉於網路和機器學習的工具。
目錄大綱
- An Overview of Modern JavaScript
- Dnotebook - An Interactive Computing Environment for JavaScript
- Getting Started with Danfo.js
- Data Analysis, Wrangling, and Transformation
- Data Visualization with Plotly.js
- Data Visualization with Danfo.js
- Data Aggregation and Group Operations
- Creating a No-Code Data Analysis/Handling System
- Basics of Machine Learning
- Introduction to TensorFlow.js
- Building a Recommendation System with Danfo.js and TensorFlow.js
- Building a Twitter Analysis Dashboard
- Appendix: Essential JavaScript Concepts
目錄大綱(中文翻譯)
- An Overview of Modern JavaScript
- Dnotebook - An Interactive Computing Environment for JavaScript
- Getting Started with Danfo.js
- Data Analysis, Wrangling, and Transformation
- Data Visualization with Plotly.js
- Data Visualization with Danfo.js
- Data Aggregation and Group Operations
- Creating a No-Code Data Analysis/Handling System
- Basics of Machine Learning
- Introduction to TensorFlow.js
- Building a Recommendation System with Danfo.js and TensorFlow.js
- Building a Twitter Analysis Dashboard
- Appendix: Essential JavaScript Concepts
