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JavaScript, the ubiquitous language of the web, has come a long way from its humble beginnings. Initially designed for adding interactivity to web pages, it has evolved into a powerful language capable of tackling complex tasks, including machine learning.
With the rise of technologies like TensorFlow.js and Brainjs, developers can now leverage the power of machine learning directly within the JavaScript ecosystem, opening up a world of possibilities for web applications, browser extensions, and even server-side applications.
Before we dive into the code, let’s briefly understand what machine learning is and why it’s important. Machine learning is a subset of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed.
By feeding large amounts of data into machine learning algorithms, computers can detect patterns, make predictions, and even automate decision-making processes.
Now, let’s explore how JavaScript can be used for machine learning tasks.
