data science

Predictive and prescriptive analytics is essential for business success in digital transformation. As a result, businesses are attempting to glean various insights from data, particularly Big Data. Data scientists with expert-level expertise in artificial intelligence (AI) and machine learning (ML) techniques are in high demand to complete the task of value extraction from Big Data. Nevertheless, there aren't many of these expensive, highly qualified professionals. Here, automation has a significant impact. We can do routine and complicated tasks more quickly by automating machine learning. Most tasks that used to require skilled data scientists to do can now be completed by AutoML (automated machine learning). As a result, businesses may engage these data scientists for more creative tasks that require human intellect. So, while AutoML technologies do not completely replace data scientists, they assist in offloading some of their everyday chores. Before moving onto the details of ...