A visualization to remember …

Photo by Pascal Bernardon on Unsplash

If you have ever been to a discotheque, it’s easier to acknowledge that there are two kinds of people. One who is in the grove — enjoying and dancing. The other, quietly standing in the corner, with a question on their face — why am I here?

Obviously, one can expect the population of the former (usually covering a large portion of the floor) to be more than the latter. The latter, usually forced to come or following a social convention, would always be lesser in number. The floor would somewhat look like:


…And distill their knowledge instead.

Photo by National Cancer Institute on Unsplash

During college days, one gets exposed to a variety of personalities. Of all the kinds, I was particularly envious of a particular type. These were a set of people who wouldn’t study throughout the semester. A day before the examination they would take a high-level download of the subject and end up creating a pointed view of the answer in the examination to pass with flying colors.

I always thought they were blessed. Having an aptitude to distill the learning at a high level and the ability to convert that into a specific viewpoint was simply admirable.

I could never…


Can it be called an ML problem anymore ?

Source: Unsplash

A few days before, I was playing with my dog. I was acting like throwing something to him (I usually throw dog biscuits which he loves to eat) and it was just fun to see him looking around for stuff. After some time, he got the trick and quietly went down and sat under the table.

The fun was over !! The life was back to normal or should I say boring.

Dogs or humans, we all have curiosities and we always want to know the answer. That’s what makes the death so hard — unsatisfying curiosity.

However, the problem…


A consolidated view to clip at your desk

Source: Unsplash

There is always something elegant about simplicity. Though it doesn’t give you the most sophisticated correct answer, but it’s intuitiveness is mesmerizing.

I believe same holds true for linear regression. Though we are in an age where complex AI/ML algorithms are changing the world. However, a large number of organizations are still using the models leveraging linear regression or a similar form.

But the world is not linear and that’s where the assumptions of linear regressions start creating issues. Many a times we find solutions to play with the data to make it abide by the assumptions. …


Intuition, underlying math and much more…

Written by Chandan Durgia and Prasun Biswas

Source: Unsplash from Devin Avery

Truth be told, with the increasing democratization of the AI/ML world, a lot of novice/experienced people in the industry have jumped the gun and lack some nuances of the underlying mathematics.

It is very much understandable as well. AI/ML world could be overwhelming for anyone because of multiple reasons:

a. One has to learn an ever-growing coding language(Python/R), tons of statistical techniques and finally understand the domain as well.

b. The pace at which the AI/ML techniques are growing is incredible. …


Opinion

Explainable AI is not a theory anymore!!

Written by Chandan Durgia and Prasun Biswas

If one ranks economic theories by the variety of applications, “Game Theory” surely would be in the top one percentile. Like others, Game theory has evolved in its interpretation and applications. Starting with a basic postulate of “how agents would choose between different options considering the competitor’s view” to the Nobel prize-winning ones like “Nash equilibrium” (John Nash — 1994) and “Stable allocations and practice of market design” (Shapley and Alvim Roth — 2012).

From areas like politics, gaming, marketing, philosophy etc. game theory has been instrumental in defining how people make better…


A few years ago, out of a mere coincidence, we were asked to lead a conference with a set of lawyers on how machine learning will change the world for the better. Particularly, how it would significantly enhance their work profile. We remember portraying some unrealistic picture on how the models would be able to read and learn the details of laws/bills/amendments and will almost provide a ready answer to a complex problem. In our naivety, we braggingly spoke about how concepts like n-grams, bag of words, tokenization etc. …


Getting your prototype UI ready for your ML project - the final stone in the foundation

Written by Chandan Durgia and Prasun Biswas

Photo by Sohan Yarlagadda on Unsplash
Photo by Sohan Yarlagadda on Unsplash
Photo by Sohan Yarlagadda on Unsplash

Excerpt from a data scientist dairy:

“Found an amazing problem to solve, sweat out to find relevant data, burnt midnight oil cleaning/massaging it, created a great model with stupendous accuracy, showcased it to the stakeholders and they didn’t like it :(.

This had to be my day. What did I miss, why was I not able to express my idea? What was missing? Maybe a good UI (User Interface) would have done the trick.”

At some point in the professional career, everyone faces a situation wherein just because one doesn’t have good UI development capabilities, he/she is not able to…


30th May 2020, in a historic event, SpaceX, an Elon Musk company, sent 2 NASA astronauts to ISS. For many, this was not just a news, it was an ecstatic moment. There are innumerable number of Elon Musk’s admirers around the world. He is certainly one of the smartest on Earth (and probably soon to be on Earth and Mars).

Of the many theories on how Elon Musk thinks about concepts/workings, one of the most famous is the “First Principles Thinking”.

To simplify, “First Principles Thinking” is about breaking down concepts to the most fundamental, the very basic, elements and…

Chandan Durgia

A multi-facet passionate leader | Data Scientist | Get in touch: https://www.linkedin.com/in/chandan-durgia-data-scientist-80517b12/

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