Machine Learning vs. Deep Learning: Whatâs the Real Difference? đ€âĄ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but theyâre not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to process information like the human brain. đč ML Highlights: âïž Requires feature engineering âïž Works well with structured data âïž Used in fraud detection, recommendations, & analytics đč DL Advantages: âïž Learns features automatically âïž Handles vast amounts of data âïž Powers AI chatbots, self-driving cars & medical imaging đ When to Use? â Use ML for smaller datasets & interpretability â Use DL for complex tasks requiring big data & high computing power As AI evolves, hybrid models & Explainable AI (XAI) will shape the future! đđĄ #MachineLearning #DeepLearning #AI #Tech #Innovation #NeuralNetworks #FutureOfAI
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