Statistics

The role of analytics, statistics, and machine learning in data science life cycle

The role of analytics, statistics, and machine learning in data science life cycle

As we all know the field of data science has emerged as a transformative force in the recent years. But what exactly falls under the data science umbrella? This blogs uncovers the core disciplines - analytics, statistics, and machine learning - exploring their roles throughout the data science life cycle (CRISP-DM) . You'll learn the distinctions as well as their interconnected roles in driving a structured data science approach.