Bridging the Gap for Non-Programmers with No-Code ML Solutions
This paper presents ‘No-Code ML’, a web-based platform designed to democratize access to machine learning (ML) technologies for non-programmers. Traditional ML development often requires significant programming expertise, limiting its accessibility to a broader audience. However, with the emergence of no-code ML platforms, individuals without coding backgrounds can now leverage the power of ML algorithms for various applications. No Code ML bridges this gap by offering an intuitive interface and a diverse set of ML tools, enabling users to build, deploy, and manage ML models without writing a single line of code. By highlighting the capabilities and benefits of No-Code ML, this paper contributes to the ongoing discourse on democratizing ML and empowers a wider audience to harness the transformative potential of artificial intelligence.
Authors
- Jacob Thomas (ORCID: https://orcid.org/0000-0003-4628-163X)
- Jayasankar Shyam
- Cyril K Sony
- Aswin Jeev Johny
- Basil Siby
Institutions
- Government Medical College (IN)
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/etis64005.2025.10961566
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00