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AI (Data, Types, Machine Learning, AI capabilities
evaluating project…
AI
Data
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mis-use of data
(dont's)
waiting long time for manual data collection before start training - instead, start training models as soon as you start collecting data and provide feedback to improve data collection
adquire data for the sake of building a large dataset and expect data is valuable to provide inmediate value - don't do this unless AI team can have a look at it
can be messy
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multiple types of data
images, audio, text - unstructured data
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Machine Learning
Types
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Supervised Learning
A (input) -----> B (output)
A-B mapping
traditional_ai
Field of study that gives computers the ability to learn w/o being explicitly programmed => software
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