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Besides these two main types of AI, other popular AI systems include- MachineLearning (ML): A subset of AI, which uses algorithms that learn from existing data, or unsupervised learning. Deep Learning: A type of machinelearning that involves learning from data using artificial neural networks.
On the machinelearning team, there’s another way of thinking about this. Any machinelearning-based tool uses a training data set and looks for patterns in the data. That’s not how ML works. McKinsey did a similar study that showed 30% that’s going to be attained, I believe, by 2030.
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