How will the Data Scientist’s job change through automated machine learning?

Introduction

Automated machine learning is a fundamental shift to machine learning and data science. Data science as it stands today, is resource-intensive, expensive and challenging. It requires skills which are in high demand. Automated Machine learning may not quite lead to the beach lifestyle for the data scientist – but automated machine learning will fundamentally change the job of a data scientist. It’s an irony that AI / ML could replace many jobs – and the first it seems is that of the data scientist himself! But we have been there before. In the 90s and 2000 we had CASE tools. Managers loved them because they were supposed to replace those expensive Programmers. That has not happened. So, would automated machine learning be any different?

Automated machine learning solves a different problem. It does not advocate zero human intervention for data science (data in – model out). More specifically, automated machine learning solves three technical problems: feature engineering, model selection and hyperparameter tuning. We do not discuss these here because you can find a lot about them by searching the Web. Rather, we see how fast automated machine learning is advancing

Last week, Google launched an AI platform for collaborative machine learning. It points to how rapidly automated machine learning is moving. Here are some key takeaways which point to its rapid growith