The phrase All models are wrong, some are useful is quite loosely used. Some take it in a very literal sense to imply that Modeling… Read More »“All models are wrong, some are useful” ≠ Modeling is a futile exercise
We often come across YouTube videos, posts, blogs, and private courses wherein they say “We accept the Null Hypothesis” instead of saying We fail to… Read More »Why saying “We accept the Null Hypothesis” is wrong. – An Intuitive Explanation
Abstraction: some succinct definitions. “Abstraction is the technique of hiding implementation by providing a layer over the functionality. Abstraction, as a process, denotes the extracting… Read More »Abstraction and Data Science — Not a great combination
Resume making is very tricky. A candidate has many dilemmas, whether to state a project at length or just mention the bare minimum whether to… Read More »How I used NLP (Spacy) to screen Data Science Resumes
Many a blogs and articles are written on how to become a Data Scientist. The list normally goes like this Study descriptive statistics, hypothesis testing,… Read More »Want to become a Data Scientist? Try Feynman Technique
What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental. Hmm, for past… Read More »So, How Many ML Models You Have NOT Built?
“Missile approaching, Every one run for cover”. People sending final goodbye messages to their loved ones. Family members huddling and praying together. Mother clinging to… Read More »Removing Confusion From Confusion Matrix — Hawaii False Missile Alert
So what were the answers popping in your head ? Random forest, SVM, K means, Knn or even Deep Learning and its variants ? Now some of… Read More »Which Machine Learning Algo will continue to be in use in year 2118?