Design Thinking: Future-proof Yourself from AI
It’s all over for us humans. It may not have been “The Matrix”[1], but the machines look like they are finally poised to take our… Read More »Design Thinking: Future-proof Yourself from AI
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Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D (in R)
In this article, we shall see how the Bayesian Kalman Filter can be used to predict positions of some moving particles / objects in 2D. This article… Read More »Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D (in R)
Overpromising and Underperforming: Understanding and Evaluating Self-service BI Tools
From the OLAP concept in earlier years to the agile BI over the last few years, BI vendors never stop advertising the self-service capability, claiming… Read More »Overpromising and Underperforming: Understanding and Evaluating Self-service BI Tools
Python Overtakes R for Data Science and Machine Learning
This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early… Read More »Python Overtakes R for Data Science and Machine Learning
How can R Users Learn Python for Data Science ?
This article was written by Manish Saraswat. Source for picture: click here This article is meant to help R users enhance their set of skills and… Read More »How can R Users Learn Python for Data Science ?
Python Overtakes R for Data Science and Machine Learning
This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early… Read More »Python Overtakes R for Data Science and Machine Learning
Data Science Simplified Part 9: Interactions and Limitations of Regression Models
In the last few blog posts of this series discussed regression models at length. Fernando has built a multivariate regression model. The model takes the… Read More »Data Science Simplified Part 9: Interactions and Limitations of Regression Models
Data and Analytics; Don’t Trust Numbers Blindly
Data & Analytics have become main-stream. Executives and their boards are increasingly starting to question whether their organizations are truly realizing the full value of… Read More »Data and Analytics; Don’t Trust Numbers Blindly
Machine Learning in Fintech – Demystified
Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as “a… Read More »Machine Learning in Fintech – Demystified
AI as a Catalyst Across Most Cycles of the IoT
This article was written by Roger Strukhoff and Sophie Turol. A scary rate of IoT data growth: The Internet of Things (IoT) is covering the gamut of industries:… Read More »AI as a Catalyst Across Most Cycles of the IoT