How AutoML Simplifies Data Science into a Mainstream Career? Analytics Insight

Successful advancements of technology often raise the question about the future of work and how the next generation and existing workforce will be trained to compete with such fast-growing machines. But most experts believe that such technologies will expand the scope for technical jobs and also make them much more accessible for people without years of training. It is also believed that data science is going to follow a similar path of easing out work for untrained professionals. For example, if at present you want to be a machine learning engineer, a decent amount of python or other programming language knowledge along with skills to construct neural networks manually would be sufficient. Although some programming packages do come with the feature which makes it easier to make machine learning models, it's still crucial to understand a variety of underline computer science which usually takes quite a bit of training.