JavaScript for Machine Learning: Creating Smart Web Applications with TensorFlow.js and Brain.js: Develop Intelligent Web Apps Using TensorFlow.js and

By Anthony Hopkins

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.

• Format: Paperback
• Language: English
• ISBN: B0FMLBS8F4
• ISBN13: 9798298259972
• Release Date: August 2025
• Publisher: Independently Published
• Length: 260 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"