{"id":5712,"date":"2019-01-28T08:56:12","date_gmt":"2019-01-28T08:56:12","guid":{"rendered":"https:\/\/www.botreetechnologies.com\/blog\/?p=5712"},"modified":"2026-03-27T16:36:37","modified_gmt":"2026-03-27T11:06:37","slug":"google-automl-will-change-how-businesses-use-machine-learning","status":"publish","type":"post","link":"https:\/\/www.botreetechnologies.com\/blog\/google-automl-will-change-how-businesses-use-machine-learning\/","title":{"rendered":"Google\u2019s AutoML Will Change How Businesses Use Machine Learning"},"content":{"rendered":"\n

One of the most hyped trends in ai development solutions<\/a> and Machine Learning this year was Google\u2019s AutoML. Machine learning companies are investing in research and development of machine learning to bring AI closer to consumers. The Google blog mentions that Google\u2019s machine developers have built a computer vision algorithm called NASNet, which performs 1.2 percent faster than previously published results.<\/p>\n\n\n\n

Typical machine learning is an end to end process which involves giving amendable input to the machine learning program and also selecting algorithms and hyper-parameter optimization which improves the final result of predictive performance. Selecting algorithms requires a fair level of expertise in machine learning. Google\u2019s AutoML proposes the use of artificial intelligence to automate the end to end process. Automating the end to end process means faster creation of solutions than done by the hand of machine learning developer<\/a>.<\/p>\n\n\n\n

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