Imagine a marketing manager or nurse building a predictive AI model with just a few clicks. It’s not science fiction – it’s the reality of today’s no-code machine learning revolution. Once the domain of PhD-wielding data scientists, machine learning (ML) is now increasingly accessible to non-technical people through no-code/low-code AI platforms. These tools automate the heavy lifting of ML, letting users train models without writing code analyticsvidhya.com. The result? A new class of DIY model-builders often dubbed “citizen data scientists.” This report explores how no-code ML works, the leading platforms behind it, the benefits and limitations of this approach, real-world
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A cybersecurity specialist with a passion for blockchain technology, Irene L. Rodriguez focuses on the intersection of privacy, security, and decentralized networks. Her writing empowers readers to navigate the crypto world safely, covering everything from wallet security to protocol vulnerabilities. Irene also consults for several blockchain security firms.
