Javascript For Machine Learning
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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.
Learning Tensorflow Js
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Author : Gant Laborde
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-10
Learning Tensorflow Js written by Gant Laborde and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Computers categories.
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
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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.
Practical Machine Learning In Javascript
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Author : Charlie Gerard
language : en
Publisher:
Release Date : 2021
Practical Machine Learning In Javascript written by Charlie Gerard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with 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 already honed skills as a web developer, you'll add a whole new field of development to your skill 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. Get started in machine learning with web technologies. 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. You will: Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content.
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
Javascript Programming For Machine Learning
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Author : AGENTA. MILLO
language : en
Publisher: Independently Published
Release Date : 2025-03-06
Javascript Programming For Machine Learning 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 2025-03-06 with Computers categories.
Unlock the power of Artificial Intelligence (AI) and Machine Learning (ML) with JavaScript Programming For Machine Learning: Develop Efficient and Effective AI Web Applications with JS! Perfect for developers and enthusiasts ready to dive into the world of machine learning, this comprehensive guide empowers you to build intelligent web applications using JavaScript, all without relying on heavy backend systems. This book demystifies the intricacies of machine learning, offering you a step-by-step approach to mastering essential ML concepts, from data handling and training models to deploying them in the browser. Explore hands-on projects like sentiment analysis apps, image classification systems, and even voice recognition assistants-all powered by popular JavaScript libraries like TensorFlow.js, Brain.js, and Synaptic.js. Inside, you'll discover: How to leverage JavaScript's growing ecosystem for ML with real-world applications. Efficient techniques for data collection, preprocessing, and transformation to create high-performing models. Practical guides to integrating cutting-edge ML models into dynamic web applications. Detailed coverage of advanced topics such as reinforcement learning, deep learning, and model optimization. Whether you're building smart recommendation systems or enhancing user experiences with AI, JavaScript Programming For Machine Learning equips you with the tools and knowledge to create seamless, scalable, and real-time AI-powered solutions-all within the browser. Perfect for developers seeking to harness the power of JavaScript for next-level web applications, this book will have you building powerful AI projects in no time. Grab your copy today and start programming the future of AI in the browser!
Javascript For Machine Learning
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Author : Anthony Hopkins
language : en
Publisher: Independently Published
Release Date : 2025-08-15
Javascript For Machine Learning written by Anthony Hopkins and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Computers categories.
What if you could build web apps that don't just respond-but think? What if your JavaScript skills could unlock real-time image recognition, smart chatbots, and predictive analytics-without switching to Python or needing massive server infrastructure? JavaScript for Machine Learning is your hands-on guide to creating intelligent, browser-based applications powered by TensorFlow.js and Brain.js. Whether you're predicting stock prices, classifying images, or building a chatbot that understands sentiment, this book shows you exactly how to make it happen-step-by-step. Inside, you'll discover how to: Master machine learning concepts without drowning in math-heavy jargon Build neural networks in the browser with TensorFlow.js and Brain.js Preprocess and handle data for real-time predictions Create complete ML-powered apps-image classifiers, chatbots, time-series predictors, and more Optimize models for speed, privacy, and mobile performance Deploy your intelligent web apps like a pro With real-world projects and clear explanations, you'll learn by building, not just reading. By the end, you'll have a portfolio of production-ready, ML-powered web applications-and the confidence to create your own. If you can write JavaScript, you can build AI. If you can build AI, you can change the way people experience the web. Don't just code websites-teach them to learn. Buy JavaScript for Machine Learning now and start building smart web apps today.
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.
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!
Practical Tensorflow Js
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Author : Juan De Dios Santos Rivera
language : en
Publisher: Apress
Release Date : 2020-10-03
Practical Tensorflow Js written by Juan De Dios Santos Rivera and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-03 with Computers categories.
Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow.js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard, ml5js, tfjs-vis. This book will cover all these technologies and show they integrate with TensorFlow.js to create intelligent web apps. The most common and accessible platform users interact with everyday is their web browser, making it an ideal environment to deploy AI systems. TensorFlow.js is a well-known and battle-tested library for creating browser solutions. Working in JavaScript, the so-called language of the web, directly on a browser, you can develop and serve deep learning applications.You'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN). Through hands-on examples, apply these networks in use cases related to image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis. Also, these topics are very varied in terms of the kind of data they use, their output, and the training phase. Not everything in machine learning is deep networks, there is also what some call shallow or traditional machine learning. While TensorFlow.js is not the most common place to implement these, you'll be introduce them and review the basics of machine learning through TensorFlow.js. What You'll Learn Build deep learning products suitable for web browsers Work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN) Develop apps using image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis Who This Book Is For Programmers developing deep learning solutions for the web and those who want to learn TensorFlow.js with at least minimal programming and software development knowledge. No prior JavaScript knowledge is required, but familiarity with it is helpful.