Machine Learning: Beginners Step by Step Artificial Intelligence with JavaScript

Artificial intelligence becomes easier to explore when its ideas are connected to things you can build. In Machine Learning: Beginners Step by Step Artificial Intelligence with JavaScript, Jaromir Gorshkov approaches the subject through web projects, code examples, and practical applications—from chatbots and image recognition to machine-learning experiments in a Unity3D game.

The book pairs introductory explanations with implementation-oriented examples. Some familiarity with JavaScript, HTML, APIs, and basic web-page concepts is expected, though readers focused on the theory can skip the coding material.

Start with AI, then put the ideas to work

The opening chapter introduces artificial intelligence and machine learning, then surveys tools and services including Microsoft Azure and Google TensorFlow. Rather than treating AI only as an abstract topic, the book frames it as something readers can explore through software and web projects.

Build a chatbot with webhooks

A dedicated chapter follows the construction of a weather chatbot using Dialogflow. Its topics include agents, intents, entities, fulfillment through webhooks, and the logic that connects a user’s input to a response.

Explore computer vision in everyday applications

The vision-focused chapter considers examples such as text and barcode recognition, face recognition, currency identification, handwriting identification, and identifying objects in a scene. It also introduces computer-vision concepts and image operations, including filters, histogram adjustment, and image transformation.

Machine learning beyond the browser

The book also looks at machine-learning algorithms in the context of a Unity3D game, with discussion of agents, rewards, training, inference, and environment design. Its final chapter turns to deep learning and JavaScript-oriented libraries including,, and NeuroJS.

A practical introduction for JavaScript readers

Gorshkov structures the chapters around learning objectives, introductory theory, examples, and review questions. The result is an entry point for readers who want to connect AI concepts with web development and related software projects, while still being able to read for the underlying ideas without following every coding example.