Frequently asked questions about ML
Frequently asked questions about ML
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Traditional programming involves writing explicit instructions for a computer to follow. In contrast, ML uses algorithms that learn patterns from data and make decisions with minimal human intervention.
The main types are supervised learning, unsupervised learning, and reinforcement learning.
A neural network is a series of algorithms that aim to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
ML applications include image and speech recognition, medical diagnosis, stock market trading, and autonomous vehicles.