1. The 5 Equations Behind Modern AI

Discover the five core ideas that power modern artificial intelligence, from neural networks and deep learning to large language models and Transformers. In this lesson, we explore linear transformations, activation functions, loss functions, gradient descent, backpropagation, and attention in a clear and intuitive way with worked examples, practical explanations, and Python implementations. Whether you are a student, data scientist, machine learning engineer, researcher, or simply curious about how AI systems learn and make decisions, this comprehensive tutorial provides the mathematical foundation needed to understand today's most important AI technologies and prepares you for deeper study in machine learning, deep learning, natural language processing, computer vision, and generative AI. #ArtificialIntelligence #AI #MachineLearning #DeepLearning #NeuralNetworks #DataScience #PythonProgramming #Transformers #AttentionMechanism #LLM #GenerativeAI #ChatGPT #Backpropagation #GradientDescent #CrossEntropy #ReLU #Sigmoid #AIEducation #ComputerScience #TechTutorial -Feel very free to follow me on all channels: https://linktr.ee/ejdansu -Tech-relevant playlists: Basic Calculus    • Basic Calculus   Data Analysis with Python    • Data Analysis with Python   Game Theory    • Game Theory   Graph & Network Theory    • Graph & Network Theory   Linear Programming    • Linear Programming   Matrices    • Matrices   Numerical Analysis    • Numerical Analysis   Numerical Optimisation Techniques    • Numerical Optimisation Techniques   Probability    • Probability   Scientific Computing with Python    • Scientific Computing with Python   Set Theory    • Set Theory   SQL with Python    • SQL with Python   Statistics    • Statistics   Vectors    • Vectors