Hands On 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.
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
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!
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 Machine Learning With Tensorflow Js
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Author : Kai Sasaki
language : en
Publisher:
Release Date : 2019-11-27
Hands On Machine Learning With Tensorflow Js written by Kai Sasaki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Computers categories.
Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively Key Features Build, train and run machine learning models in the browser using TensorFlow.js Create smart web applications from scratch with the help of useful examples Use flexible and intuitive APIs from TensorFlow.js to understand how machine learning algorithms function Book Description TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach. Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book will then guide you through implementing ML techniques and algorithms such as regression, clustering, fast Fourier transform (FFT), and dimensionality reduction. You will later cover the Bellman equation to solve Markov decision process (MDP) problems and understand how it is related to reinforcement learning. Finally, you will explore techniques for deploying ML-based web applications and training models with TensorFlow Core. Throughout this ML book, you'll discover useful tips and tricks that will build on your knowledge. By the end of this book, you will be equipped with the skills you need to create your own web-based ML applications and fine-tune models to achieve high performance. What you will learn Use the t-SNE algorithm in TensorFlow.js to reduce dimensions in an input dataset Deploy tfjs-converter to convert Keras models and load them into TensorFlow.js Apply the Bellman equation to solve MDP problems Use the k-means algorithm in TensorFlow.js to visualize prediction results Create tf.js packages with Parcel, Webpack, and Rollup to deploy web apps Implement tf.js backend frameworks to tune and accelerate app performance Who this book is for This book is for web developers who want to learn how to integrate machine learning techniques with web-based applications from scratch. This book will also appeal to data scientists, machine learning practitioners, and deep learning enthusiasts who are looking to perform accelerated, browser-based machine learning on Web using TensorFlow.js. Working knowledge of JavaScript programming language is all you need to get started.
Supercharge Your Javascript
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Author : LAURENCE LARS. SVEKIS
language : en
Publisher: Independently Published
Release Date : 2025-04-20
Supercharge Your Javascript written by LAURENCE LARS. SVEKIS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-20 with Computers categories.
Supercharge Your JavaScript: Using AI for Smarter, Faster Development A Beginner-Friendly Guide to Learning JavaScript with the Power of AI Want to learn JavaScript, but not sure where to start? Feeling overwhelmed by syntax, stuck on errors, or tired of tutorials that never quite get you to the finish line? This book is your breakthrough. Supercharge Your JavaScript isn't just another coding book-it's your all-in-one AI-powered learning guide designed to help you go from curious beginner to confident JavaScript creator. Whether you've never written a single line of code or you've dabbled in JavaScript before and got stuck, this book shows you how to leverage artificial intelligence to write, debug, test, and understand code-step by step, in plain English. What You'll Learn: ✅ How AI tools like ChatGPT, GitHub Copilot, Claude, and Codeium can help you write better JavaScript ✅ How to prompt AI effectively to get clean, working code tailored to your needs ✅ How to co-write functions, refactor old code, and build projects faster than ever ✅ How to debug JavaScript by feeding stack traces and errors to AI-and get real answers ✅ How to write and improve unit tests, generate mock data, and cover tricky edge cases ✅ How to rapidly prototype apps, MVPs, and full interfaces-using nothing but ideas and good prompts ✅ How to develop the mindset of a modern developer: creative, curious, and powered by AI This book is structured for hands-on, practical learning. Each chapter combines detailed explanations with real-world examples, exercises you can do right away, and action steps to help you immediately apply what you've learned. You'll Get: Over 100 exercises that guide you from your first prompt to full JavaScript apps Checklists to reinforce key ideas and help you track progress Code examples for every major concept, written and explained in simple terms Debugging playbooks to help you solve real-world problems Test generation techniques to write cleaner, safer, more reliable code AI integration tips so you can add tools to your own coding setup Who This Book Is For: Absolute beginners who want to start coding with real results-no experience required Non-coders who want to create real JavaScript apps without memorizing syntax Aspiring developers who want to learn faster and smarter using AI tools Coders returning after a break who need a modern, AI-powered refresher Educators and students looking for an innovative, hands-on way to explore JavaScript You don't need a computer science degree or hours of free time. You just need curiosity-and this guide.
Creating Chatgpt Apps With Javascript
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Author : Bruce Hopkins Jr.
language : en
Publisher: Springer Nature
Release Date : 2025-03-26
Creating Chatgpt Apps With Javascript written by Bruce Hopkins Jr. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
Transform your JavaScript expertise through the power of Open AI API models using “Creating ChatGPT Apps with JavaScript.” This book will guide JavaScript developers to build smart applications while providing tangible knowledge of OpenAI’s API for text summarization, creating transcripts from audio files, generating images, and running models locally on your machine. Through hands-on projects and code examples, readers will discover how to build AI-powered apps from scratch, such as using embeddings to train a Discord bot to answer customers’ questions in multiple languages. Readers will also learn to dictate text for writing articles or blogs with a localized integration of Whisper and generate hero images with Dall-E. What’s more, in the final chapter of this book, you’ll be able to maximize productivity by creating a Smart Assistant like Alexa or Siri with JavaScript and the new Raspberry Pi 5. From seasoned developers to newcomers, this book offers something for everyone. Not only will readers learn to build apps with ChatGPT and JavaScript, but they will also learn best practices for prompt engineering. They’ll understand how AI models can enhance workplace efficiency and utilize natural language processing (NLP) to make interactions with applications feel...well, natural. The end result is expert knowledge in leveraging ChatGPT programmatically and incorporating the technology into diverse applications. What You Will Learn: Gain a deeper understanding of ChatGPT and how OpenAI’s models work, and different ways to implement each of their various features. Authenticate with ChatGPT and OpenAI’s API and learn to send prompts with best practices with prompt engineering. Streamline productivity and content creation by leveraging transcription generation for dictation and image generation for creating hero images. Stay ahead of the game by incorporating different new features of OpenAI’s API and understanding more complex concepts like using GPT-4 to train a Discord bot with an FAQ to assist with multilingual tech support. Who This Book is for: This book is written for JavaScript developers and hobbyists that want to use OpenAI and ChatGPT to create intelligent applications and streamline productivity. No prior experience with ChatGPT or OpenAI APIs is required.
Javascript Programming For Ai And Machine Learning
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Author : Jaxon Grey
language : en
Publisher: Independently Published
Release Date : 2025-09-07
Javascript Programming For Ai And Machine Learning written by Jaxon Grey and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-07 with Computers categories.
Unleash the power of Artificial Intelligence-using the world's most popular programming language. Artificial Intelligence (AI) and Machine Learning (ML) are no longer reserved for Python experts. With the rise of TensorFlow.js, Brain.js, and powerful JavaScript libraries, developers can now build smart applications directly in the browser or Node.js-without switching languages. This book, JavaScript Programming for AI and Machine Learning, is your step-by-step guide to mastering AI with JavaScript. Whether you're a beginner curious about neural networks or a web developer eager to bring intelligence into your projects, this hands-on guide makes complex concepts approachable and practical. Inside, you'll discover: Why JavaScript is a game-changer for AI and ML. How to set up your development environment and work with modern ES6+ features. Techniques for loading, cleaning, and preprocessing data for AI tasks. A clear introduction to tensors, supervised learning, classification, and regression. Step-by-step tutorials on building and training models in JavaScript. Real-world projects including chatbots, image recognition, NLP, and sentiment analysis. Advanced techniques like transfer learning, reinforcement learning, and smart web apps. How to deploy models, optimize performance (WebGL, WASM), and run AI in production. A thoughtful discussion on ethical AI, privacy, bias, and the future of JavaScript in ML. By the end of this book, you'll not only understand the core principles of AI and ML, but also be able to build, train, and deploy your own models-all with JavaScript. Whether you're aiming to create intelligent web apps, experiment with machine learning in the browser, or explore cutting-edge AI projects, this book gives you the tools and knowledge to succeed. Turn your JavaScript skills into AI superpowers-start building smarter apps today.
Hands On Artificial Intelligence With Java For Beginners
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Author : Nisheeth Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31
Hands On Artificial Intelligence With Java For Beginners written by Nisheeth Joshi 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 2018-08-31 with Computers categories.
Build, train, and deploy intelligent applications using Java libraries Key Features Leverage the power of Java libraries to build smart applications Build and train deep learning models for implementing artificial intelligence Learn various algorithms to automate complex tasks Book Description Artificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity. Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach. By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains. What you will learn Leverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among others Build machine learning models using supervised and unsupervised machine learning techniques Implement different deep learning algorithms in Deeplearning4j and build applications based on them Study the basics of heuristic searching and genetic programming Differentiate between syntactic and semantic similarity among texts Perform sentiment analysis for effective decision making with LingPipe Who this book is for Hands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications.
Practical Machine Learning In Javascript
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Author : Charlie Gerard
language : en
Publisher: Apress
Release Date : 2020-11-17
Practical Machine Learning In Javascript written by Charlie Gerard and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Computers categories.
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You’ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you’ll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js—an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices. What You'll Learn Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content Who This Book Is For Web developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended.