Artificial Intelligence With Javascript

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Hands On Machine Learning With Javascript

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Author : Burak Kanber
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-29

Hands On Machine Learning With Javascript written by Burak Kanber and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-29 with Computers categories.

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript Key Features Solve complex computational problems in browser with JavaScript Teach your browser how to learn from rules using the power of machine learning Understand discoveries on web interface and API in machine learning Book Description In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications. What you will learn Get an overview of state-of-the-art machine learning Understand the pre-processing of data handling, cleaning, and preparation Learn Mining and Pattern Extraction with JavaScript Build your own model for classification, clustering, and prediction Identify the most appropriate model for each type of problem Apply machine learning techniques to real-world applications Learn how JavaScript can be a powerful language for machine learning Who this book is for This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book.

Artificial Intelligence With Javascript

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Author : Andrew Davis
language : en
Publisher: Independently Published
Release Date : 2024-10-08

Artificial Intelligence With Javascript written by Andrew Davis and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.

Unlock the power of deep learning and artificial intelligence using the language you already know and love - JavaScript! This groundbreaking book bridges the gap between web development and cutting-edge AI, empowering you to create intelligent applications that can transform user experiences across platforms. Dive into the world of neural networks, machine learning algorithms, and AI-driven decision-making, all through the lens of JavaScript. Learn how to: Implement deep learning models directly in your web and mobile applications Harness the potential of natural language processing and computer vision using JavaScript libraries Optimize performance and scalability for AI-driven applications in browser environments Create intelligent chatbots, recommendation systems, and predictive analytics tools Whether you're a seasoned JavaScript developer looking to expand your skillset or an AI enthusiast eager to bring your models to life on the web, this book provides the perfect blend of theory and practical, hands-on examples. Don't let the misconception that AI is only for Python developers hold you back. Embrace the future of web-based artificial intelligence and start building smarter, more responsive applications today!

Hands On Artificial Intelligence With Javascript

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Author : Andrei Niscoveanu
language : en
Publisher:
Release Date : 2019-07-26

Hands On Artificial Intelligence With Javascript written by Andrei Niscoveanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with categories.

A.I. powered chatbots, computer vision and neural networks for your web applications using JavaScript.Mission- Teach the reader how to build projects involving Artificial Intelligence using JavaScript as a primary programming language.- Explore various techniques of using Artificial Intelligence in real-world scenarios- Explain what machine learning is and how it can be applied in web applicationsObjectives and achievements- Explore popular platforms using A.I.- Practical examples of A.I. in web apps- Exploring chatbots- Exploring vision based apps- Implementing A.I. in a game

Artificial Intelligence

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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date : 2025-04-05

Artificial Intelligence written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-05 with Computers categories.

Artificial Intelligence From Fundamentals to the Future – Master the World of Thinking Machines Unlock the secrets behind the most transformative technology of our time. Whether you’re a student, tech enthusiast, entrepreneur, or simply curious about the future, Artificial Intelligence is your ultimate guide to understanding, building, and ethically navigating intelligent systems. This comprehensive, easy-to-follow book takes you on a powerful journey through the core principles, tools, applications, and philosophical challenges of AI—from the basics to the bleeding edge. 🔍 Inside this book, you will discover: ✅ What AI really is—and how it differs from human intelligence ✅ The history, evolution, and types of AI (Narrow, General, and Super Intelligence) ✅ Foundations of machine learning, deep learning, NLP, and computer vision ✅ Real-world AI applications in healthcare, finance, education, marketing, and more ✅ How to build your own AI models with hands-on examples ✅ Emerging technologies: quantum AI, emotional intelligence, and AGI ✅ Ethics, bias, consciousness, and the role of AI in reshaping humanity 👩‍💻 Who is this book for? Students & professionals looking to upskill in AI Entrepreneurs & product creators wanting to leverage AI Academics & researchers exploring the cutting edge Policy makers & thinkers interested in ethical implications Anyone curious about how AI is shaping our present—and future 🌍 More than a book—it’s a roadmap for the intelligent age. In a world increasingly shaped by algorithms, this book empowers you to not just understand AI—but to use it wisely, build it responsibly, and shape its future with intention and impact. Start your journey today. The future isn’t just coming— AI is already here. Are you ready?

Artificial Intelligence And Speech Technology

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Author : Amita Dev
language : en
Publisher: CRC Press
Release Date : 2021-06-30

Artificial Intelligence And Speech Technology written by Amita Dev and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Computers categories.

The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc.

Hands On Machine Learning With Tensorflow Js

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Author : Kai Sasaki
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-27

Hands On Machine Learning With Tensorflow Js written by Kai Sasaki and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Computers categories.

Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.

Javascript Programming For Building Deep Learning Models

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Author : AGENTA. MILLO
language : en
Publisher: Independently Published
Release Date : 2025-03-10

Javascript Programming For Building Deep Learning Models written by AGENTA. MILLO and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Computers categories.

Unlock the immense power of Artificial Intelligence with JavaScript! JavaScript Programming for Building Deep Learning Models is the ultimate guide to mastering AI development using JavaScript. This comprehensive book empowers developers with the tools and knowledge needed to create advanced deep learning models, all while leveraging JavaScript's unparalleled accessibility and web integration. Dive deep into the world of AI and explore its potential with real-world applications. From neural networks to computer vision, NLP, and reinforcement learning, this book takes you step-by-step through essential concepts and complex models. Learn to build and train models using TensorFlow.js, and discover how to bring powerful AI to web browsers and edge devices for real-time, client-side applications. Whether you're building your first neural network or deploying sophisticated deep learning solutions, this book will guide you every step of the way. With hands-on projects and practical exercises, you'll develop expertise in the most cutting-edge AI techniques. In this book, you will: Master the fundamentals of deep learning, neural networks, and their applications. Discover why JavaScript is a game-changer in AI development. Explore advanced deep learning models, including CNNs, RNNs, GANs, and Transformers. Learn how to create real-time applications like image recognition, chatbots, and even self-learning systems. Implement deep learning with TensorFlow.js to run models directly in web browsers or Node.js environments. Optimize and scale models for real-world applications, from edge computing to cloud deployment. Perfect for developers eager to harness the power of JavaScript for AI, this book provides both foundational knowledge and cutting-edge techniques for building AI-powered systems. Start your journey into the world of deep learning today and unlock the potential of AI in web development with JavaScript! Why Choose This Book? Practical, hands-on approach with code examples and exercises Clear explanations for both beginners and advanced learners Insights on optimizing performance and scaling AI models Real-world applications, including NLP, image recognition, and chatbots Learn to deploy AI models directly to browsers and edge devices Prepare to push the boundaries of AI development with JavaScript Programming for Building Deep Learning Models!

Deep Learning With Javascript

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Author : Stanley Bileschi
language : en
Publisher: Simon and Schuster
Release Date : 2020-01-24

Deep Learning With Javascript written by Stanley Bileschi and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-24 with Computers categories.

Summary Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Foreword by Nikhil Thorat and Daniel Smilkov. About the technology Running deep learning applications in the browser or on Node-based backends opens up exciting possibilities for smart web applications. With the TensorFlow.js library, you build and train deep learning models with JavaScript. Offering uncompromising production-quality scalability, modularity, and responsiveness, TensorFlow.js really shines for its portability. Its models run anywhere JavaScript runs, pushing ML farther up the application stack. About the book In Deep Learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation. What's inside - Image and language processing in the browser - Tuning ML models with client-side data - Text and image creation with generative deep learning - Source code samples to test and modify About the reader For JavaScript programmers interested in deep learning. About the author Shanging Cai, Stanley Bileschi and Eric D. Nielsen are software engineers with experience on the Google Brain team, and were crucial to the development of the high-level API of TensorFlow.js. This book is based in part on the classic, Deep Learning with Python by François Chollet. TOC: PART 1 - MOTIVATION AND BASIC CONCEPTS 1 • Deep learning and JavaScript PART 2 - A GENTLE INTRODUCTION TO TENSORFLOW.JS 2 • Getting started: Simple linear regression in TensorFlow.js 3 • Adding nonlinearity: Beyond weighted sums 4 • Recognizing images and sounds using convnets 5 • Transfer learning: Reusing pretrained neural networks PART 3 - ADVANCED DEEP LEARNING WITH TENSORFLOW.JS 6 • Working with data 7 • Visualizing data and models 8 • Underfitting, overfitting, and the universal workflow of machine learning 9 • Deep learning for sequences and text 10 • Generative deep learning 11 • Basics of deep reinforcement learning PART 4 - SUMMARY AND CLOSING WORDS 12 • Testing, optimizing, and deploying models 13 • Summary, conclusions, and beyond

Mastering Ai App Development With Mern Stack Step Into The Future Of App Development By Building Intelligent Ai Powered Applications With Mern Stack And Tensorflow Js For Seamless User Experiences

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Author : Anik Acharjee
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-11-05

Mastering Ai App Development With Mern Stack Step Into The Future Of App Development By Building Intelligent Ai Powered Applications With Mern Stack And Tensorflow Js For Seamless User Experiences written by Anik Acharjee and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.

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. Book DescriptionWith 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 you will 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. Table of Contents1. Introduction to AI and the MERN Ecosystem2. Setting Up the MERN Development Environment3. Fundamentals of Machine Learning with JavaScript4. Implementing AI with Node.js and TensorFlow.js5. Creating Intelligent User Interfaces with React6. Data Management for AI with MongoDB7. Building AI Middleware with Express.js8. Crafting AI-Powered Chatbots9. Image and Voice Recognition Capabilities10. Personalization with Recommendation Systems11. Deploying MERN and AI Applications12. Security Practices for AI-Enabled MERN Applications13. Scaling AI Features in Production14. Emerging Trends in AI and MERN Development15. Case Studies and Real-World Success Stories Index

Artificial Intelligence Programming With Python

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Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21

Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.