Introduction To Mern Web Apps And Javascript Algorithms
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Introduction to MERN Web Apps and JavaScript Algorithms
Introduction to MERN Web Apps and JavaScript Algorithms is an introduction to the development of MERN applications. It includes examples of React, Node, Express, MongoDB web apps and explains how to convert a MERN app to a PWA. The eBook also includes an introduction to Javascript Algorithms that range in complexity from string reversal to dynamic programming.
Mastering AI App Development with MERN Stack
Author: Anik Acharjee
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2024-11-05
TAGLINE Transform Your Web App Development Journey with MERN and AI KEY FEATURES ● Utilize AI for code generation, debugging, and optimizing performance in MERN applications. ● Build AI-powered web apps with real-time data processing and user behavior insights. ● Integrate AI capabilities seamlessly with MongoDB, Express.js, React, and Node.js for scalable web solutions. DESCRIPTION With AI applications driving a projected $15.7 trillion boost to the global economy by 2030, combining AI with the popular MERN stack has become a game-changer for developers and businesses alike. Mastering AI App Development with MERN Stack is a hands-on guide designed for developers ready to bring AI capabilities to their MERN applications, covering everything from foundational machine learning to advanced, real-world solutions. Starting with the essentials of setting up a MERN development environment, the book guides readers through machine learning basics in JavaScript, enabling AI integration with Node.js and TensorFlow.js. Each chapter provides practical insights into building intelligent interfaces with React, effective data handling with MongoDB, and AI middleware using Express.js. Readers will learn to create features like AI-powered chatbots, image and voice recognition, and personalized recommendation systems. Real-world scenarios and case studies demonstrate how AI can elevate MERN applications. With guidance on security practices, deployment, and scaling, this book is a complete toolkit for building secure, production-ready AI solutions with MERN. Mastering AI with the MERN Stack empowers developers to unlock the full potential of AI in the MERN ecosystem, creating innovative, impactful applications for an AI-driven world. WHAT WILL YOU LEARN ● Integrate AI into MERN applications for improved user experiences. ● Build AI-powered web apps using the MERN stack effectively. ● Implement real-time data processing and personalized content features. ● Leverage pre-trained AI models for language and analytics tasks. ● Design scalable AI architectures to enhance performance and capacity. WHO IS THIS BOOK FOR? This book is tailored for JavaScript developers, full-stack developers and frontend or backend developers interested in AI integration into their web applications. It’s also ideal for web developers aiming to create dynamic applications and MERN stack enthusiasts exploring AI's potential. With a basic understanding of the MERN stack, readers will find this guide a valuable resource for advancing their web development careers by incorporating AI capabilities. TABLE OF CONTENTS 1. Introduction to AI and the MERN Ecosystem 2. Setting Up the MERN Development Environment 3. Fundamentals of Machine Learning with JavaScript 4. Implementing AI with Node.js and TensorFlow.js 5. Creating Intelligent User Interfaces with React 6. Data Management for AI with MongoDB 7. Building AI Middleware with Express.js 8. Crafting AI-Powered Chatbots 9. Image and Voice Recognition Capabilities 10. Personalization with Recommendation Systems 11. Deploying MERN and AI Applications 12. Security Practices for AI-Enabled MERN Applications 13. Scaling AI Features in Production 14. Emerging Trends in AI and MERN Development 15. Case Studies and Real-World Success Stories Index
A Social-Scientific Examination of the Dynamics of Communication, Thought, and Selves
Intrapersonal communication has been considered and studied less in comparison to general communication and other related topics. Moreover, intrapersonal communication is usually mentioned in the context of studying other topics, as opposed to being studied singularly. To fully understand the complexity and potential uses of this field of study, intrapersonal communication must be researched further. A Social-Scientific Examination of the Dynamics of Communication, Thought, and Selves focuses on the concept of intrapersonal communication, discusses how and why we communicate with ourselves, and considers how scholars can help humans improve and harness intrapersonal communication in fields such as artificial intelligence. The book also makes a forceful case for the importance and potential utility of intrapersonal communication. Covering topics such as language, sociology, and cognitive science, this reference work is ideal for sociologists, psychologists, industry professionals, academicians, scholars, researchers, practitioners, instructors, and students.