When Bayes, Ockham, and Shannon come together to define machine learning
This article was written by Tirthajyoti Sarkar. Acknowledgements Thanks to my CS7641 class at Georgia Tech in my MS Analytics program, where I discovered this conce...
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Visually Explained: Human Vs. Artificial Intelligence – Who Wins The Race?
Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of busines...
Does Your Hypothesis Development Canvas Tell a Story?
As Kevin Lynch, CTO of The Information Lab in Dublin, was describing how his organization uses the Hypothesis Development Canvas, it occurred to me that Kevin was actuall...
Variance of a Product of Random Variables
If X(1), X(2), …, X(n) are independent random variables, not necessarily with the same distribution, what is the variance of Z = X(1) X(2) … X(n)? It turns ou...
Coding vs Programming – What’s the Difference?
The Difference between Coding and Programming are explained in the below-mentioned points: Coding is the process of translating and writing codes from one language to ano...
Difference Between Correlation and Regression in One Picture
Correlation and regression analysis both deal with relationships between variables. There are many different types of correlation and regression; This image focuses on ...
Neural Networks: Is Meta-learning the New Black?
I’ve written several times about how the “economies of learning” are more powerful than the “economies of scale”. Through a continuous learning and refinement...
Machine Learning in Agriculture: Applications and Techniques
Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and effective with the help of high-precision algorithms. The mecha...
Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests
Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to create your model, the end result ...
Alternatives to R-squared (with pluses and minuses)
R-squared can help you answer the question “How does my model perform, compared to a naive model?”. However, r2 is far from a perfect tool. Probably the mai...