Data Science in the Cloud Overcoming Challenges and Maximizing Opportunities for Machine Learning

As Data Science is a rapidly evolving field in which large amounts of data are analyzed to derive meaningful insights using machine learning-based techniques. In contrast, cloud computing offers a scalable and cost-effective platform for storing and processing data for machine
learning-based applications. The combination of data science and cloud computing has emerged as a powerful tool for organizations seeking a competitive advantage through data- driven decision-making. The problem statement is that traditional machine learning approaches
frequently involved storing data on local servers and analyzing it with specialized tools. However, this approach can be costly, time-consuming, and unscalable in the face of large data volumes. Many organizations are turning to cloud-based machine-learning platforms to address
these challenges.

The authors declare no conflict of interest.

Not applicable

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

This work did not receive any external funding.