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 would not have a data science career without Kaggle. So if you are looking for a blog post bashing Kaggle, this is not the place. That said, I am not a radical that thinks Kaggle is the ultimate thing that everyone must do in order to become a data scientist. I want to give an honest opinion coming from the perspective of someone that heavily competed but decided to “retire” a few years ago....
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. 🙂 Table of Contents 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. Table of Contents Identify A Measurable Business Problem Look For A Quick Win Check Your Data Infrastructure Set Up A Benchmark (Or Baseline) Start With An AI Service A Real Case Where I Used AI Recommendation Services Repeat The Process What If You Need A Custom Solution That Is Not Provided As An AI Service?...