TheFixed Effects regression modelis used to estimate the effect of intrinsic characteristics of individuals in apanel data set. Examples of such intrinsic characteristics are genetics, acumen and cultural factors. Such factors are not directly observable or measurable but one needs to find a way to estimate their…
Upholding data hygiene is of paramount importance when carrying out a machine learning task.
Much attention is given to this topic, with a lot of emphasis being placed on the importance of dealing with outdated, incomplete, or incorrect data. After all, neglecting the cleanliness of your data will ruin your…
Ever since encountering Design Thinking working at Deloitte Consulting back in 2018, I’ve become hooked on it. I love the ethos around redefining problems to get to their core and then quickly iterating on ideas. Mostly, I love the tools and tricks for getting a wide berth of ideas out…
They are being used everywhere in big tech companies. For instance, when you use Google translate, or when recommendations appear on your Netflix feed, complex artificial neural networks are being used behind the scene. Behind the success ofAlpha Goat the game ofGo against Lee Sedol, an ANN…
Back in 2019, I wrote an article about Optimal Stopping theory and its application to dating.
The lesson was simple for the hopeful romantic: to maximize your chance of finding the best match, you shouldget to know but not commit yourself to any of the first37% of the…
This work has been done entirely using publicly available data, and was co-authored withAnh Tuấn Phan,Parvathy Krishnan, andHieu Danh Luu. All errors and omissions are those of the author(s).
“Water, water everywhere and not a drop to drink”
Samuel Taylor Coleridge’s poem,The Rime of the Ancient…
The almost paradoxical concept of deterministic chaos describes systems which are so sensitive to initial conditions that long term forecasting becomes impossible. …
Introduction
Clustering is an unsupervised machine learning method that can identify groups of similar data points, known as clusters, from the data itself. For some clustering algorithms, such as K-means, one needs to know how many clusters there are beforehand. If the number of clusters is incorrectly specified, the results…
We’re all familiar with technical debt in software engineering, and at this point,hidden technical debt in ML systemsis practically dogma. But what is ML monitoring debt? ML monitoring debt is when model monitoring is overwhelmed by the scale of the ML systems that it’s meant to monitor. …
If you improve by 1% every day, you will have improved by 37 times by the end of the year.
The first time I read the quote above, I was awestruck by it. Indeed, learning is a slow but steady process. When someone sets off on a journey of learning…
A Medium publication sharing concepts, ideas and codes.
