Data Science : An Introduction

Big Data Advanced Analytics scaled

What is Data Science, and how does it work?

Data science is a discipline that combines domain knowledge, programming abilities, and math and statistics knowledge to extract useful insights from data. Machine learning algorithms are used to numbers, text, photos, video, audio, and other data to create artificial intelligence (AI) systems that can execute jobs that would normally need human intelligence. As a result, these systems produce insights that analysts and business users may employ to create meaningful commercial value.


What is the Importance of Data Science?

Data science, AI, and machine learning are becoming increasingly important to businesses. Organizations that want to stay competitive in the age of big data, regardless of industry or size, must build and execute data science capabilities quickly or risk being left behind.


DataRobot + DataScience

Even for firms with near-infinite resources, scaling up data science efforts is tough. The DataRobot AI Cloud Platform democratizes data science and AI by empowering analysts, business users, and other technical experts to become Citizen Data Scientists and AI Engineers, as well as increasing the productivity of data scientists. It automates time-consuming modeling processes that used to take up the majority of data scientists’ time and attention. DataRobot makes enterprise machine learning more accessible than ever before by bridging the gap between data scientists and the rest of the organization.