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 ...

When learning to master machine learning (ML) the process requires more than just a technical grasp of algorithms and data. It’s a subject that combines complex mathematical concepts, coding ...

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

Machine learning is an area of artificial intelligence (AI) with a concept that a computer program can learn and adapt to new data without human intervention. A complex algorithm or source code is ...

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 ...

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 ...

Learners can better comprehend the fundamental ideas and practical features of machine learning algorithms thanks to Schafer’s in-depth lectures and coding demonstrations.

The machine learning model has been trained on Amazon code and open source code, he added. Sivasubramanian also outlined CodeWhisperer’s security precautions and protections against bias.