Writing online has been a game-changer for me (and it can be yours, too) — I’ve been writing about Machine Learning for nearly half a decade now. I’ve gained more than 2K followers on Medium, and recently launched my first e-book on Gumroad. New colleagues at work sometimes already recognize me just because of my blog. Time to reflect: why do I do all this…

5 simple strategies to help you get the most out of your ML experiments — Experimentation is at the heart of the Machine Learning profession. We progress because we experiment. However, not all experiments are equally meaningful. Some create more business impact than others. …

A primer on position bias (and why it matters) — Standard Machine Learning curricula teach that ML models learn from patterns that exist in the past in order make predictions about the future. This is a neat simplification, but things change dramatically once the predictions from these models are being used in production, where they create feedback loops: now, the…

A practical guide to Essentialism — “The way of the Essentialist is the relentless pursuit of less but better” — Greg McKeown Essentialism has been a game-changer for me. The core idea, as outlined in a book by Greg McKeown, is to do “less but better”: to spend your time only on what’s truly important in…

Why you should migrate to a new password management service ASAP — The Email arrived at 6am on Friday before the Christmas weekend. LastPass has an ‘update’ on a recent security ‘incident’, and asks me to click the link to their blog to learn more. The link greets me with a pop-up window, asking me cheerily to subscribe for future updates. If…

Questions you should ask and red flags you should avoid — As Machine Learning professional, navigating the diverse landscape of ML roles within the industry can be confusing. Job titles are usually not a big help because they change depending on the company and also depending on the organization within a company. …

Eliminate your recurring pain points by understanding the underlying patterns — Anti-patterns are common yet counter-productive responses to recurring problems. Because they’re ineffective, they perpetuate recurring pain points without ever resolving the underlying, systematic issues. Anti-patterns exist pretty much anywhere people come together to solve problems, in software development, project management, and yes, also in data science.

Behind the algorithms that make Machine Learning models bigger, better, and faster — Distributed learning is one of the most critical components in the ML stack of modern tech companies: by parallelizing over a large number of machines, one can train bigger models on more data faster, unlocking higher-quality production models with more rapid iteration cycles. But don’t just take my word for…

A complete step-by-step guide that automates the heavy lifting and lets you focus on the content — Launching you own website is a great way to stand out from the crowd, and establish your personal brand online. In this post, I’ll share a step-by-step guide for building and launching a site that looks clean and professional, and is easy to maintain. You’ll learn how to: build your…