Background When I was teaching a session on AI at an MBA program at the London School of Economics, I thought of explaining AI from the perspective of the life-cycle�...
Summary: In the literal blink of an eye, image-based AI has gone from high cost, high risk projects to quick and reasonably reliable. C-level execs looking for AI tec...
Last time, I posted Part 2 of a blog trilogy on data programming with Python. That article revolved on showcasing NumPy, a comprehensive library created in 2005 that ...
PREFACE This article has 4 sections: Introduction: Introduction to the gambler’s ruin problem Methodology: How the simulation will be carried out Pseudocode: Summar...
Majority of modern companies deal with processes which they want to be automated. This need can be caused by various reasons, in particular, due to the routine, repetitiv...
In a recent article (February 2019) published in Forkes (see here) it was argued that there will be no data science job titles by 2029. The author wrote that Automation...
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard. Some major incu...
Is innovation an artisanal feat? Can innovation be weighed, measured on a scale, and optimized like a production operation? Can the use of data analytics disrupt creativi...
The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and these revenues are...
Introduction to topic model: In machine learning and natural language processing, a topic model is a type of statistical model for discovering the a...