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Face detection is the ability of a computer program to identify and locate human faces in a digital image. Face detection is one of the most common applications of Artificial Intelligence. From camera applications in smartphones to Facebook’s tag suggestions, the use of face detection in applications is increasing every single day. 
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More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.
Farid Mheir's insight:
WHY IT MATTERS: frameworks tools and technologies for machine learning have evolved very rapidly and play in big part in making AI a reality.
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Now you can add state of the art machine learning features to your applications. Production ready Docker containers that you can run, deploy, and scale.
Farid Mheir's insight:
WHY IT MATTERS: visual pattern recognition using machine learning techniques is fast becoming a commodity with services like this one. It allows developers to deploy pre-trained solutions for image analysis. Not sure it is the best model or the perfect solution but it does lower the barrier of entry for most developers in the field.
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Teaching page of Shervine Amidi, Graduate Student at Stanford University.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is based on mathematics and computer science. Here are cheat sheets to help guide students - but in reality they are good for everybody. Also look on github for translations in multiple languages...
Zayn Thomas's comment,
September 18, 2018 8:06 AM
thanks for precious knowledge and check out our Mobile Blogging app for students : http://www.heuroapp.com/
Vezta & Co.'s curator insight,
September 19, 2018 8:37 AM
WHY IT MATTERS: machine learning is based on mathematics and computer science. Here are cheat sheets to help guide students - but in reality they are good for everybody. Also look on github for translations in multiple languages... |
Curated by Farid Mheir
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WHY IT MATTERS: few lines of code is all you need to do things that were considered impossible 5 years ago. With this powerful tool at their finger, expect pretty every website and system to include face detection and other image processing features to be included in the coming years. But few developers will know about the limitations of the technology, especially the biais that may exist in the training data. As in this example, you realize that the "confidence" has not been used in the example, but yet it seems to be an essential information to interpret the results. There will be many many errors due to this in the coming years before the technology really is fool proof.