When you start learning, it’s very hard to have a clear direction. You often waste time on uninteresting, useless, or outdated topics. You wander and run in circles. However, once you’ve mastered the topic, it’s easy to look back and see the fastest path from noob to pro. If you only could go back in… Continue reading 13 essential tips for learning machine learning and data science
When I learned data science I didn’t know where to start, so I wasted many hours learning only tangentially useful stuff. Now, after more than five years as a data science consultant, I know what I would’ve done differently. In this article, I will offer you a roadmap on how self-learn data science with links… Continue reading How to self-learn data science from scratch
In this article, I’ll give you a structured approach to getting a data science job. In fact, I’ll be sharing all the techniques that have helped me get offers from startups and management consulting firms, along with examples of my own resume and project portfolio. Additionally, I’ll talk about what I look for when screening… Continue reading How to get a job (in data science)
You’ve just finished training a credit risk tree model with a whooping 57 AUC score, and you feel great. And you should. But let’s dig deeper. How much better will this model be than using no model? Or than using the previous model which had an AUC of 48? Have you ever wondered what the… Continue reading How to estimate the impact of algorithms
You are a student finishing their bachelor’s degree and unsure of what to do next. Or perhaps you are a professional considering a change of industry. You may even be a PhD that wants to transition into the private sector. Whatever your origin, what concerns you now is how to accomplish this change. And you… Continue reading When is a master’s degree the right way into Data Science?