No-Code AI is Disrupting Data Science — Are You Keeping Up?

Author(s): Harshit Kandoi

Originally published on Towards AI.

Photo by KOBU Agency on Unsplash

Artificial Intelligence (AI) and Data Science (DS) have long been dominated by experts with programs in the program and technical expertise for a long time. The traditional AI development process is very complicated, long, and expensive, with Machine Learning algorithms with subtitled hyperparameters.

But what happens if the construction of models that do not require many years of experience?

This is where the low-code or no-code AI appears, huh? No code appears. With platforms like DataRobot, Google Automl, and H2O.AI, users can now create, train, and deploy automatic learning models using the interface of pulling & releasing intuitive with automated work processes.

AI democratization means that companies no longer need a group of data scientists to exploit the power of Machine Learning (ML). Whether you are an entrepreneur seeking to integrate AI into your company, a marketing expert who wants to take advantage of predictive analysis, or a data enthusiast to explore, a low-code platform and no code to fill the gap between complexity and technical access.

In this blog, we will discover how the platforms have no codes and low codes revolutionary science and data science, advantages, limitations, and their real applications, and how you can start with… Read the full blog for free on Medium.

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Published via Towards AI