In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

The realm of artificial intelligence (AI) is vast and continuously evolving. One of its subfields, machine learning, involves the use of algorithms that enable computers to learn and make decisions ...

A research team from MIT, Hong Kong University, and Zhejiang University has open-sourced ATMSeer, a tool for visualizing and controlling automated machine-learning processes. Solving a problem with ...

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AutoML is a technique where customers bring their data and walk away with a model without worrying about the complex workflow involved in training machine learning models. It dramatically simplifies ...

To enable developers and citizen data scientists to take advantage of machine learning, the industry is moving towards AutoML - a simplified approach to building and training ML models. Training and ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

Google has developed an artificial intelligence (AI) system that has created its own “child”. What’s more, the original AI has trained its creation to such a high level that it outperforms every other ...

ZDNet was briefed on the new products by Alteryx's Chief Data and Analytics Officer (CDAO), Alan Jacobson, who joined the company two years ago from his post as director of global analytics at Ford ...