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Face Detection Algorithms & Techniques
Face Detection Algorithms and Techniques
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5 Pros and Cons of Face Recognition Technology
Today, machine learning is the premise of big innovations and promises to continue enabling companies to make the best decisions through accurate predictions. But what happens when the error susceptibility of these algorithms is high and unaccountable? AdaBoost uses an iterative approach to learn from the mistakes of weak classifiers, and turn them into strong ones. You can run the code for this tutorial for free on the ML Showcase. Ensemble learning combines several base algorithms to form one optimized predictive algorithm.
The intelligence demonstrated by machines is known as Artificial Intelligence. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks.