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March 25, 2019
Posted by Humans For AI
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Discovering the Undercurrent of a Conversation using AI: An NLP Model using Corpus of Interviews

By: Contributors Anshuman Neog, Consultant|ML & DL, Affine Analytics, Rayudu Pujitha, Data Scientist, Affine Analytics Ever stepped out of a meeting and wondered how it went off? What if there was some intelligent software or gadget that synthesized your conversation and gave you a report on how it went — good, bad, ugly? With Artificial Intelligence you can […]
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Comments: 0     Views: 983
August 21, 2018
Posted by Deepa Naik
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Life with a Facelift — Applications of Face Recognition

Facial recognition is a quickly evolving technology, and its laws and regulations need to keep up. “Say hello to the future” the tagline of iPhoneX marked the advent of face recognition into mainstream apps using it as a feature to unlock the phone. Though this marks a milestone in itself as far as facial recognition […]
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Comments: 0     Views: 2616
August 15, 2018
Posted by Manas Agarwal
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Health Assistance vs. Medication Management vs. Artificial Intelligence

Healthcare and AI: Someone you know falls sick and has to be rushed to the ICU… The picture today is of utter chaos. It takes ages to understand the severity. Someone calls the ambulance. Someone dials the hospital. They reach and have to finish formalities and wait for the critical care doctors to reach and […]
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Comments: 0     Views: 984
July 27, 2018
Posted by Dave Carpenter
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Why AI Requires a Human Touch

Humans For AI may sound like a band of well-doers in a sci-fi movie, crusading on behalf of enslaved robots. In fact, it’s an organization that exists in the here and now, and it’s not the robots they’re lobbying for, it’s us. A notable 2013 study from the University of Oxford revealed that 47% of Americans were […]
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Comments: 0     Views: 739
July 27, 2018
Posted by Pavitra Srinivasan
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The art and science of dealing with imbalanced datasets

The Art and Science of Dealing with Imbalanced Datasets Machine learning algorithms typically work in a closed loop manner. At a high level, this involves training the model on the available training dataset followed by evaluation of the prediction performance and repeating the process as more data is available. The choice of evaluation technique depends […]
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