career tips

There’s ongoing anxiety in our area born from the perceived need to “catch up” with the new shiny state-of-the-art technology. And yes, it’s good to always be learning new methods to solve problems with machine learning. But I believe one thing is more important than knowing everything: knowing how to find possible solutions and iterate fast. This is what I mean by “iterate fast”: having the ability to quickly test different solutions and find the one that works best for your problem....

This is one of those things you only find out after getting a job as a data scientist. Imagine that someone simply showed up with an app to you and said that if you follow what this app recommends, you will reach your goals in life. Interviewing for jobs? Take the job the app ranks highest. Looking for a relationship? Date the person the app shows it’s the best match. Sick?...

I have been using daily machine learning development journals for the past 5 years. These are simple diaries that help me organize my thoughts, come up with new ideas and track my progress. I have found them to be an invaluable tool for helping me improve as a data scientist, so I decided to share my experience, as you can find it useful too. 🙂 What is a Daily Machine Learning Journal?...

The days when you needed to hire a full-time data scientist to use machine learning to solve a business problem in your company are long gone. Now, machine learning is more accessible than ever and there are several ways you can start using it in your business without breaking the bank. Here are a few steps you should take to build your first ML-powered solution. Identify A Measurable Business Problem Start by identifying a business problem that machine learning could help solve....