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Building Blocks of AI | Data, Algorithms, Computing Power, Model Training, Inference

Welcome to an exciting deep dive into the Building Blocks of AI! In this video, we’ll break down how AI learns, explore the fundamentals of Machine Learning (ML) and Neural Networks, and even build a simple AI model using Google’s Teachable Machine!

✅ Key Topics Covered:
🔹 How AI Learns – Understanding data, features, patterns & predictions
🔹 Introduction to Machine Learning – Supervised vs. Unsupervised Learning
🔹 Neural Networks & Deep Learning – Basics of perceptrons and multi-layer networks
🔹 Hands-on Project – Build an AI-powered image classifier with Teachable Machine

By the end of this video, you’ll have a clear understanding of AI’s core concepts and even get hands-on experience with a fun AI project!

This video is designed for beginners and AI enthusiasts who want to understand how AI works. Whether you’re a student, developer, or just curious about AI, this is the perfect starting point!

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Видео Building Blocks of AI | Data, Algorithms, Computing Power, Model Training, Inference канала Professor Rahul Jain
artificial intelligence, AI learning, how AI works, building blocks of AI, machine learning, supervised learning, unsupervised learning, neural networks, deep learning, AI for beginners, AI tutorial, AI concepts, AI basics, AI project, teachable machine, AI hands-on, AI applications, AI training, AI predictions, AI models, deep learning tutorial, AI classification, introduction to AI
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