## Reviewing the recently released HuggingFace đ¤ Course

Originally published here Massive Open Online Courses (MOOCs) are an indispensable part of the life of a self-taught data scientist. If you are in a room full of wanna-be data scientists, the chances are that fifty percent of them have taken the famous Machine Learning course by Andrew Ng. However, here is the twist. Even … Continue reading Reviewing the recently released HuggingFace đ¤ Course

## The curious case of Simpsonâs Paradox

Statistical tests and analysis can be confounded by a simple misunderstanding of the data Statistics rarely offers a single ârightâway of doing anything â Charles Wheelan in Naked Statistics In 1996, Appleton, French, and Vanderpump conducted an experiment to study the effect of smoking on a sample of people. The study was conducted over twenty years and included 1314 … Continue reading The curious case of Simpsonâs Paradox

## Demystifying Neural Networks: A Mathematical Approach (Part 2)

My notes from the book âMake your own Neural Networkâ by Tariq Rashid. The neural network is a kind of technology that is not an algorithm. It is a network that has weights on it, and you can adjust these weights so that it learns. You teach it through trialsâââHoward Rheingold This is the second … Continue reading Demystifying Neural Networks: A Mathematical Approach (Part 2)

## Demystifying Neural Networks: A Mathematical Approach (Part 1)

My notes from the book âMake your own Neural Networkâ by Tariq Rashid. âTake inspiration from all the small things around you.â- TariqÂ Rashid There are some tasks which are very simple for computers but hard for humans, like multiplying millions and trillions of numbers, i.e. repetitive tasks. On the other hand, humans outperform computers fairly … Continue reading Demystifying Neural Networks: A Mathematical Approach (Part 1)