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Author: Rising Odegua
Publisher: Packt Publishing Ltd
ISBN: 1801078416
Category : Computers
Languages : en
Pages : 477
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Book Description
Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques Key FeaturesBuild microservices to perform data transformation and ML model serving in JavaScriptExplore what Danfo.js is and how it helps with data analysis and data visualizationCombine Danfo.js and TensorFlow.js for machine learningBook 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 learnPerform data experimentation and analysis with Danfo.js and DnotebookBuild machine learning applications using Danfo.js integrated with TensorFlow.jsConnect Danfo.js with popular database applications to aid data analysisCreate a no-code data analysis and handling system using internal librariesDevelop a recommendation system with Danfo.js and TensorFlow.jsBuild a Twitter analytics dashboard for sentiment analysis and other types of data insightsWho 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.
Author: Rising Odegua
Publisher: Packt Publishing Ltd
ISBN: 1801078416
Category : Computers
Languages : en
Pages : 477
Get Book
Book Description
Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques Key FeaturesBuild microservices to perform data transformation and ML model serving in JavaScriptExplore what Danfo.js is and how it helps with data analysis and data visualizationCombine Danfo.js and TensorFlow.js for machine learningBook 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 learnPerform data experimentation and analysis with Danfo.js and DnotebookBuild machine learning applications using Danfo.js integrated with TensorFlow.jsConnect Danfo.js with popular database applications to aid data analysisCreate a no-code data analysis and handling system using internal librariesDevelop a recommendation system with Danfo.js and TensorFlow.jsBuild a Twitter analytics dashboard for sentiment analysis and other types of data insightsWho 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.
Author: Gant Laborde
Publisher: "O'Reilly Media, Inc."
ISBN: 149209076X
Category : Computers
Languages : en
Pages : 342
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Book Description
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learningand the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use resources to convert, train, and manage machine learning data Build and train your own training models from scratch
Author: Gant Laborde
Publisher: O'Reilly Media
ISBN: 9781492090793
Category : Computers
Languages : en
Pages : 300
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Book Description
Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js and other tools Use resources to convert, train, and manage machine learning data Start building and training your own training models from scratch Learn how to create your own image classification models Examine transfer learning: retraining an advanced model to perform a new task
Author: Bethany Griggs
Publisher: Packt Publishing Ltd
ISBN: 1838554572
Category : Computers
Languages : en
Pages : 512
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Book Description
Discover practical recipes to get to grips with Node.js concepts and programming models for delivering a scalable server-side for your applications Key FeaturesImplement practical solutions for scaling, securing, and testing your Node.js web apps effectivelyBuild and deploy scalable microservices architecture with the power of Node.js 14Discover techniques for debugging and testing Node.js applicationsBook Description A key technology for building web applications and tooling, Node.js brings JavaScript to the server enabling full-stack development in a common language. This fourth edition of the Node Cookbook is updated with the latest Node.js features and the evolution of the Node.js framework ecosystems. This practical guide will help you to get started with creating, debugging, and deploying your Node.js applications and cover solutions to common problems, along with tips to avoid pitfalls. You'll become familiar with the Node.js development model by learning how to handle files and build simple web applications and then explore established and emerging Node.js web frameworks such as Express.js and Fastify. As you advance, you'll discover techniques for detecting problems in your applications, handling security concerns, and deploying your applications to the cloud. This recipe-based guide will help you to easily navigate through various core topics of server-side web application development with Node.js. By the end of this Node book, you'll be well-versed with core Node.js concepts and have gained the knowledge to start building performant and scalable Node.js applications. What you will learnUnderstand the Node.js asynchronous programming modelCreate simple Node.js applications using modules and web frameworksDevelop simple web applications using web frameworks such as Fastify and ExpressDiscover tips for testing, optimizing, and securing your web applicationsCreate and deploy Node.js microservicesDebug and diagnose issues in your Node.js applicationsWho this book is for The book is for web developers who have knowledge of JavaScript and want to gain a broad understanding of Node.js concepts for server-side development.
Author: Yang Li
Publisher: Springer Nature
ISBN: 3030826813
Category : Computers
Languages : en
Pages : 602
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Book Description
This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.
Author: Maya Gans
Publisher: Chapman & Hall/CRC
ISBN: 9780367426521
Category : Information visualization
Languages : en
Pages : 232
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Book Description
"JavaScript is the language of the web. Originally developed for making browser-based interfaces more dynamic, it is now used for large-scale software projects of all kinds, including scientific visualization tools and data services. However, most researchers and data scientists have little or no experience with it. This book is designed to fill that void. It introduces readers to JavaScript's power and idiosyncrasies, and guides them through the key features of the modern version of the language and its tools and libraries. The book places equal focus on client- and server-side programming, and shows readers how to create interactive web content, build and test data services, and visualize data in the browser"--
Author: Tushar S. Chande
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 234
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Book Description
Improve identification of candlestick patterns. With Qstick, you can quantify both the internal momentum and shadows, and produce objective numbers to look at rather than a pattern to ponder.
Author: Ved Antani
Publisher: Packt Publishing Ltd
ISBN: 1785286285
Category : Computers
Languages : en
Pages : 250
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Book Description
Explore and master modern JavaScript techniques in order to build large-scale web applications About This Book Write powerful code with the high-level functions that JavaScript offers Test and debug issues with JavaScript code using various modern mechanisms Offers an expert's eye on the latest ES6 features and how these advanced tasks fit together in JavaScript as a whole Who This Book Is For This book is ideal for web developers who are looking to master modern JavaScript concepts and design principles. You should already have an intermediate level of JavaScript knowledge before starting this book. What You Will Learn Get a run through of the basic JavaScript language constructs Get familiar with the Functions and Closures of JavaScript Explore Regular Expressions in JavaScript Code using the powerful object-oriented feature in JavaScript Test and debug your code using JavaScript strategies Master DOM manipulation, cross-browser strategies, and ES6 Understand the basic concurrency constructs in Javascript and best performance strategies Learn to build scalable server application in JavaScript using Node.js In Detail JavaScript is a high-level, dynamic, untyped, lightweight, and interpreted programming language. Along with HTML and CSS, it is one of the three essential technologies of World Wide Web content production, and is an open source and cross-platform technology. The majority of websites employ JavaScript, and it is well supported by all modern web browsers without plugins. However, the JavaScript landscape has changed dramatically in recent years, and you need to adapt to the new world of JavaScript that people now expect. Mastering modern JavaScript techniques and the toolchain are essential to develop web-scale applications. Mastering JavaScript will be your companion as you master JavaScript and build innovative web applications. To begin with, you will get familiarized with the language constructs and how to make code easy to organize. You will gain a concrete understanding of variable scoping, loops, and best practices on using types and data structures, as well as the coding style and recommended code organization patterns in JavaScript. The book will also teach you how to use arrays and objects as data structures. You will graduate from intermediate-level skills to advanced techniques as you come to understand crucial language concepts and design principles. You will learn about modern libraries and tools so you can write better code. By the end of the book, you will understand how reactive JavaScript is going to be the new paradigm. Style and approach This is a comprehensive guide with a clear focus on practical use cases and patterns. Each chapter consists of best practices, useful advice, and a bunch of easy-to-follow examples that will build up your skills as you advance through the book.
Author: Orhan TORKUL
Publisher: Efe Akademi Yayınları
ISBN: 6256995171
Category : Computers
Languages : en
Pages : 268
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Book Description
İÇİNDEKİLER ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN DISTANCE EDUCATION (2012-2021): A SYSTEMATIC REVIEW MEHMET BARIŞ HORZUM - DENİZ DEMİRCİOĞLU DİREN THE ROLE OF CUSTOMER KNOWLEDGE IN DIGITAL TRANSFORMATION: CUSTOMER KNOWLEDGE MANAGEMENT AS A COMPETITIVE ADVANTAGE THROUGH SOCIAL MEDIA PLATFORMS LEVENT ÇALLI MACHINE LEARNING AS A TOOL FOR ACHIEVING DIGITAL TRANSFORMATION MERVE ŞİŞCİ - YUNUS EMRE TORKUL - İHSAN HAKAN SELVİ BLOCKCHAIN-BASED ENERGY MANAGEMENT FOR SUPPLY CHAIN MANAGEMENT ERAY AÇIKGÖZ - BERRİN DENİZHAN A STUDY ON DEEP LEARNING BASED APPLICATIONS USED IN AGRICULTURE IN TURKIYE GÜNAY TEMÜR BLOCKCHAIN AND INFORMATION SHARING FATİH ÇALLI INDUSTRY 4.0, SMART FACTORIES AND EFFECTS ON BUSINESS TİJEN ÖVER ÖZÇELİK - İHSAN HAKAN SELVİ - AYTEN YILMAZ YALÇINER - MUHAMMED TAHA ZEREN ANALYSIS OF THE PARAMETERS THAT AFFECT THE MOISTURE CONTENT OF THE PUMPKIN BY DATA MINING FEYZA GÜRBÜZ OPPORTUNITIES AND CHALLENGES OF DIGITAL TRANSFORMATION IN SMEs-THE ROLE OF DYNAMIC CAPABILITIES AS A CATALYST BÜŞRA ALMA ÇALLI A CUSTOMER-CENTRIC ANALYTICS FRAMEWORK AND INSIGHTS OF DIGITAL TRANSFORMATION ÖMER FARUK SEYMEN THE FUTURE OF MONEY AS A FINANCIAL INVESTMENT TOOL: CENTRAL BANK DIGITAL CURRENCY İNCİ MERVE ALTAN
Author: Ashley Davis
Publisher: Simon and Schuster
ISBN: 1638351139
Category : Computers
Languages : en
Pages : 657
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Book Description
Summary Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end. About the Book Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you'll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You'll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit. What's inside Establishing a data pipeline Acquisition, storage, and retrieval Handling unusual data sets Cleaning and preparing raw dataInteractive visualizations with D3 About the Reader Written for intermediate JavaScript developers. No data analysis experience required. About the Author Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript. Table of Contents Getting started: establishing your data pipeline Getting started with Node.js Acquisition, storage, and retrieval Working with unusual data Exploratory coding Clean and prepare Dealing with huge data files Working with a mountain of data Practical data analysis Browser-based visualization Server-side visualization Live data Advanced visualization with D3 Getting to production
