Statistical Inequalities provide a means of bounding measures and quantities and are particularly useful in specifying bounds on quantities that may be difficult or intractable to compute. They also…
Every week, a bunch of flowers grows in my garden. You can think of it as a dataset. It was a good way to playfully introduce my child to complex concepts. In this article we will highlight through…
The time series forecasting toolbox is like the Swiss army knife — many options to choose from. These options often leave data scientists overwhelmed, puzzled, and sometimes outright confused. Last…
OpenCV is an open-source computer vision library aimed mainly at real-time systems. It is based on C++ and offers optimized code for vision processing across different platforms, Windows, Linux…
There’s something about being a sports fan, some insatiable itch that causes us to incessantly make bold predictions of the future. Massive industries have arisen to scratch this itch, fantasy sports…
You are sitting in a bar full of data scientists (must be the most boring bar in the world) when you overhear this conversation: Even if you don’t know anything about machine learning, but you do…
From a list of Amazon product links, you can build a Python web scraper to scrape the prices at specific times and alert you if your target hits.
If you’re anything like me, being stuck at home has possibly made you a tad stir crazy. Fortunately, there are many productive things that you can do from your home on the computer that can occupy…
The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn…
Tilted. A term commonly used among poker players, although it has also been thoroughly adopted by the wider gaming community. Supposedly, it’s origins come from the mechanical pinball machines that…
