Summary: The results are in. There is only one demonstrably successful strategy for creating big wins for AI-first companies. We’ll briefly summarize the other co...
This article was written by Pranjal Srivastava. Sequence prediction problems have been around for a long time. They are considered as one of the hardest problems to solve...
Several of my friends have challenged me to get involved in the AI ethics discussion. I certainly do not have any special ethics training. But then again, maybe I do. I�...
Summary: Reinforcement Learning (RL) is going to be critical to achieving our AI/ML technology goals but it has several barriers to overcome. While reliability and a ...
Summary: For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for ML applicati...
Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling method is perhaps the mo...
Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical...
Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science ...
For over 30,000 years, we have expressed ourselves through visual art, and there are lessons we can draw from painting and apply them to viz. What do Impressionists teach...
Summary: There have been several stories over the last several months around the theme that AI is about to hit a wall. That the rapid improvements we’ve experienced...