As no-code AI has matured, it has also become valuable to seasoned data scientists and machine learning engineers, who are interested in automating the tedious parts of their job.

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Google's AutoML project has yielded significant advances in the ability for machine-learning systems to replicate and improve AI code.

Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.

Driven by curiosity, he took free online resources and joined hackathon projects. “That got my manager's attention. He hadn't thought about it, but he told me, ‘Since you're doing machine learning, we ...

Coding assignments implementing machine learning algorithms, and experiments testing ML algorithms on real-world data. LABORATORY ASSIGNMENTS: There will be several lab assignments.

For many years, machine learning was considered a specialty, limited to an elite few. That era is over, as recent results indicate that machine learning, powered by “neural nets” that emulate the way ...

I searched and prototyped for low-code and no-code platforms that would enable technology teams to spike and experiment with machine learning capabilities. I focused mainly on low-code application ...