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...
AI is a game changer. Period. And being a data and analytics guy, I could not be more excited about it. The McKinsey research study “Notes from the AI frontier: Applica...
Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resou...
Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to ...
Summary: Booz Allen just launched a one-stop shop for all manner of pretested DNN models. They’re even guaranteeing price. This makes buying just like picking acc...