Free, Updated Introductory Course Delivered in 2021 — If you want to take your first few serious steps toward becoming an expert in deep learning, here is your opportunity! They don’t come more easily (and for free) than this… Perhaps the most well-known resource for learning deep learning is Andrew Ng’s series of 5 courses on Coursera. Those courses are still a great resource for anyone learning the fundamentals of the field but they are now a few years…

4 reasons why data science is here to stay and what you need to do to ensure that your skillset stays in demand. — As someone working in data science for over a decade, it is frustrating to see people prophesying on how the field will get extinct in 10 years. The typical reason given is how emerging AutoML tools will eliminate the need for practitioners to develop their own algorithms. I find such…

Key lessons and a practical system so that it doesn’t only make you feel good but instead inspires you to transform your productivity routine — Until recently, I struggled with consistently staying productive. I have achieved phenomenal successes close to deadlines, but I never managed to keep momentum. Thanks to being in academia, I attended numerous courses and training workshops in the last 14 years to improve. However, at best, most of those have been…

A case study based introduction to using Bayes rule and how it compares with a frequentist, pessimistic and optimistic approaches to drawing conclusions — This post will help you understand Bayesian inference at an intuitive level with the help of a simple case study. I hope that once you read this article, you will be very clear on how the well-known “Bayes theorem” is used, what do the terms in the theorem mean (prior…

A personal case study with free code to plot personalized contour plots of heart rate, speed, and VO₂ Max with Fitbit to track and improve your fitness — In this post, we will look at how Fitbit measures your VO₂ Max, track how it changes over time, and derive useful insights to give a better steer on how to improve it over time. …

2: Seek Scrutiny, Don’t Duck It. — Lizz Truss (LT) has just made history. She is now the shortest-serving Prime Minister in British history. She achieved this unenviable ‘feat’ by a distant margin (resigned after 45 days and this included 10 days of mourning!). Success leave clues and so does failure. For anyone entering politics, becoming the…

Compared to a “for” loop, NumPy in Python is over 10,000% faster when dealing with a billion multiplications. — This post will introduce you to vectorization, and its importance in machine learning (especially deep learning). You will also learn how it is implemented in Python with NumPy, and how much of a difference it makes. This post assumes a minimal background in linear algebra. You should know what a…

Statistics is akin to reverse engineering probability to find the truth — Until a long time, I assumed that the expected value of a random variable is a fancy name for the sample mean. I was completely wrong. Both the sample mean and the expected value are averages but they are not the same thing. Let me explain it with a simple…

Freely copy the R Code, start tracking and expand your data science portfolio with a personal project while getting fitter. — Paraphrasing James Clear, the daily actions you take provide evidence for the identity you have. Thanks to tracking, I have practically changed my identity. Regular exercise is now an intrinsic part of my life. This article is for everyone who wishes to start a new personal data science project tracking…