Machine Learning and JavaScript (Node.js)

The book "Machine Learning and JavaScript (Node.js)" is a unique practical guide that will open the world of artificial intelligence for you using the familiar JavaScript language and the Node.js runtime. Unlike traditional ML books focused on Python, this edition is specifically created for JavaScript developers who want to expand their skills in data analysis, forecasting, and building intelligent systems.

What this book is about

The book covers the full cycle of working with machine learning on Node.js: from theory and environment setup to deploying ready-made models in production. You will learn how to use powerful libraries such as TensorFlow.js, Brain.js, Synaptic, and Natural to solve real-world problems.

• ML Basics: linear regression, classification, clustering, and model evaluation
• Neural Networks: building, training, and optimizing neural networks from scratch
• Natural Language Processing (NLP): tokenization, sentiment analysis, chatbots
• Computer Vision: image recognition using pre-trained models
• Working with Data: collection, cleaning, normalization, and visualization
• Production: deploying ML models via REST API, Docker, cloud services

Who this book is for

The edition is designed for JavaScript developers of any level who want to integrate machine learning into their projects. You don't need to be a mathematician or data scientist — all concepts are explained accessibly, with code and examples. The book will also be useful for:

• Fullstack developers looking to add intelligent features to web applications
• Node.js programmers aiming to master a new in-demand specialization
• Students and beginners studying ML in JavaScript

What you will learn

• How to set up an environment for ML development on Node.js
• Create and train neural networks for prediction and classification
• Work with TensorFlow.js: from simple models to transfer learning
• Implement NLP functions: text sentiment analysis, summarization, generation
• Use ready-made pre-trained models (MobileNet, BERT) in Node.js
• Optimize performance and manage memory during training
• Integrate ML models into Express.js, Socket.io, and other frameworks
• Deploy models in production using Docker and cloud platforms

Each chapter contains practical examples, ready-to-run scripts, and exercises to reinforce the material. By the end of the book, you will be able to independently create and deploy ML solutions using only JavaScript and Node.js, opening up new opportunities for career growth and creating innovative products.

This book will be your reliable guide into the world of machine learning in JavaScript — a language that is used everywhere today, from browsers to servers.