Building SwapEat | I... • 1y
In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing large amounts of data and demonstrating how humans solve the problems within that data. This helps the AI learn and develop new rules to respond to the data similarly to human intelligence. The more experiences (data) the AI is exposed to, the better it becomes at navigating future situations. Essentially, training a model is akin to feeding it experiences and allowing it to learn from them. ✨ Follow me for more useful tech information.
| Technologist | ML ... • 5m
Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
See MoreMachine Learning Ent... • 1y
The Importance of Analyzing Data 📊 Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid
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