All you have to do is pass training and validation data in the required formats. From image classifiers to style transfer to natural language processing (NLP) and recommendation engines, Create ML covers almost every application of AI. Using transfer learning allows you to create your own custom models. Create MLĪfter initially launching inside Xcode, Create ML is today a standalone macOS application that offers a set of pre-trained ML templates. Let’s see what tools are the best in making this happen. It is no longer necessary to have a doctorate in ML, as anyone can get more creative and independently train the required models. This is definitely a boon for mobile developers, as machine learning on devices is in great demand right now. They enable software development teams to quickly create datasets, train and deploy machine learning models with little or no coding knowledge while staying on budget. Visual no-code tools help fill data science gaps and make AI less intimidating for non-technical people. Many firms that invest heavily in hiring engineers with PhDs and ML experience are still far behind launching their products. It’s not that easy for startups to find specialists with relevant experience in AI and machine learning, in particular, as this field is constantly evolving. But their development becomes a big obstacle for many. More and more companies are looking to harness the power of artificial intelligence (AI) to create smarter software products.

We are now seeing a surge in no-code AI platforms. In this article, we’ll take a look at some of the best no-code machine learning (ML) tools available for software and mobile developers right now.

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