AI Model (Machine Learning) Simplified

Everything AI and Law Podcast · Beginner ·📐 ML Fundamentals ·1y ago

Skills: ML Pipelines80%

Key Takeaways

Breaks down the components of an AI Model, including Training Data and Algorithm, and discusses common errors in model training

Original Description

What makes up an AI model? It’s simpler than you think. In this video, I break down my secret formula: AI Model = Training Data + Algorithm. You’ll learn: - The role of training data and algorithms in building AI - The core training dilemma: Optimization vs. Generalization - Common errors in model training: Overfitting vs. Underfitting - What “High Variance” and “High Bias” actually mean This is a beginner-friendly explanation that cuts through the jargon and gets straight to the point. ---------------------- Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now. Here is the preorder link - ⁠⁠https://a.co/d/fJX1qUE⁠ ---------------------- #AI #MachineLearning #DeepLearning #ArtificialIntelligence #Overfitting #Underfitting #Generalization #AIBasics #MLExplained #AITutorial #ConfusionMatrix

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