Javascript For Machine Learning
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Hands-on Machine Learning with JavaScript
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.
Learning TensorFlow.js
Author: Gant Laborde
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-05-10
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 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-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
JavaScript Programming for AI and Machine Learning
Author: Jaxon Grey
language: en
Publisher: Independently Published
Release Date: 2025-09-07
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.