Welcome to the first video in our exciting new series on Machine Learning and Artificial Intelligence using JavaScript! 🎉 I'm Ashish Saluja, and today we embark on an incredible journey to demystify these cutting-edge technologies.
In this video, we'll start by understanding the difference between Artificial Intelligence (AI) and Machine Learning (ML). 🤖 AI refers to the broader concept of machines being able to carry out tasks in a way that we would consider "smart," while ML is a subset of AI that involves machines learning from data. We'll break down these concepts in a clear, easy-to-understand manner, ensuring you have a solid foundation before diving deeper into the world of ML and AI.
Next, we'll introduce you to TensorFlow.js, a powerful library that brings the capabilities of TensorFlow to the JavaScript ecosystem. 🌐 You'll learn how TensorFlow.js enables you to build and train machine learning models directly in your browser or on Node.js, making it accessible and convenient for web developers.
To make things even more engaging, we'll write a small practical example that demonstrates the difference between a traditional JavaScript program and a machine learning program. 🛠️ This hands-on example will help you see firsthand how machine learning can add a layer of intelligence to your code that goes beyond basic programming.
By the end of this video, you'll have a clear understanding of AI and ML, an introduction to TensorFlow.js, and a practical example to kickstart your journey in machine learning with JavaScript. 🚀
If you find this content helpful, please give it a thumbs up 👍 and don't forget to subscribe to my channel for more tutorials and insights into AI and machine learning using JavaScript! Hit the bell icon 🔔 to stay updated with the latest videos in this series. Let's learn and grow together! 💡
Code from practical examples in this video:
Normal JS Program: https://github.com/ashsal/machine-lea...
Tensor Flow Hello World: https://github.com/ashsal/machine-lea...
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