Coding Calling
AI, Machine Learning, Deep Learning — are they the same thing? Not at all! In this beginner-friendly video, you’ll learn 8 essential AI concepts with simple examples, clear visuals and no complicated math.
📌 What you’ll learn:
0:00 Intro: AI vs ML vs DL
0:38 What is Artificial Intelligence (AI)?
1:40 What is Machine Learning?
2:56 What is Deep Learning?
4:04 What is a Neural Network?
5:29 What is a Dataset?
6:30 What is an AI Model?
7:45 What is Training?
9:12 What is Inference? (Quick quiz!)
10:07 The Big Picture: how all 8 concepts connect
🧠 Quick recap:
– AI – machines performing intelligent tasks
– Machine Learning – learning patterns from data
– Deep Learning – machine learning with multi-layer neural networks
– Neural Network – connected units arranged in layers
– Dataset – a collection of examples
– Model – a trained system that applies learned patterns
– Training – the process of learning from data
– Inference – using a trained model to produce outputs
▶️ Next episode: Supervised vs Unsupervised vs Reinforcement Learning. Subscribe so you don’t miss it!
📺 Series: AI Buzzwords Explained Simply
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#AI #MachineLearning #DeepLearning #AIforBeginners #NeuralNetworks
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🚀 AI vs Machine Learning vs Deep Learning — what’s the real difference?
In this video, we break down these three concepts with simple explanations and relatable examples. 😊
💬 Quick question for you: Can you think of an everyday example of AI, Machine Learning, or Deep Learning? Share it in the comments! 👇
If you found this video helpful, like 👍, share, and subscribe to @CodingCalling for more simple explanations of AI and technology.
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