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Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to dataanalysis. This led to the theory and development of AI.
The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computerscientists and business leaders have taken note of the potential of the data.
This is largely thanks to their ability to analyze vast arrays of financial data from market trends to customer behavior. Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. Tracking facial biometrics with computer vision on Viso Suite No.
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