{"id":74306,"date":"2020-02-14T10:02:53","date_gmt":"2020-02-14T10:02:53","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=74306"},"modified":"2021-02-01T08:35:41","modified_gmt":"2021-02-01T08:35:41","slug":"comparing-machine-learning-as-a-service","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/comparing-machine-learning-as-a-service\/","title":{"rendered":"Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI"},"content":{"rendered":"

Machine learning is one of the important technologies that has been changing the way businesses operate in present times. Now, the majority of enterprises assume machine learning as a topic similar to rocket science. Enterprises see high costs and skill requirements, with machine learning as the foremost barrier in its adoption. However, the delivery of machine learning as a service (MLaaS) can support enterprises in starting up a machine learning initiative. So, the candidates with a good knowledge of machine learning tools<\/a> are in high demand.<\/span><\/p>\n

MLaaS offers a wide range of services that provide artificial intelligence (AI) tools in a cloud-based computing service framework. The global MLaaS market has an estimated CAGR of 41.2% over the period from 2017 to 2023. The primary factors driving the growth of the MLaaS market include the merger of machine learning and big data, integration of advanced analytics in the manufacturing process, and the creation of massive volumes of structured and random data.\u00a0<\/span><\/p>\n

Try Now: 15 Free Practice Questions for AWS Certified Machine Learning – Specialty<\/a><\/p><\/blockquote>\n

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