Is Artificial Intelligence (AI) the new elixir of all modern problems? Or is it a double-edged sword, sometimes destructive and at other times life-saving?
Data Science Simplified Part 12: Resampling Methods
How does various resampling methods work?
An Executive Primer to Deep Learning
Circa 1997, the reigning world chess champion Garry Kasparov was against an unknown opponent. The opponent was formidable. Garry was not playing a human. He was playing the game with IBM’s behemoth supercomputer, Deep Blue. Garry had beaten the opponent in the last few games. However, the game played on 11th May 1997 game was […]
TOP TRENDS IN ARTIFICIAL INTELLIGENCE IN 2018
According to Gartner’s hype cycle of emerging technologies, 2017; Deep Learning and Machine Learning have reached the peak of inflated expectations. Artificial General Intelligence (AGI) and Deep Reinforcement Learning are in the phase of innovation trigger. I have published this article on Analytics Insight that looks into the top trends in Artificial Intelligence in 2018. Happy […]
Architectural Primer: Conversation as a Platform (CaaP)
According to Mckinsey report, Artificial Intelligence (AI) is poised to unleash digital disruption and companies needs to start preparing for this new wave now. In 2016, companies invested $26 billion to $36 billion in AI technologies. Virtual agents a.k.a chatbots are an important component of AI technologies and we are seeing more and more interest […]
Data Scientia 