An Introduction to the Machine Learning Platform as a Service

An Introduction to the Machine Learning Platform as a Service

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<p>Machine-Learning-Platform-as-a-Service (ML PaaS) is one of the fastest growing services in the public cloud. It delivers efficient lifecycle management of machine learning models.</p>
<p>At a high level, there are three phases involved in training and deploying a machine learning model. These phases remain the same from classic ML models to advanced models built using sophisticated neural network architecture.</p>
<p><a class="local-link" href="https://thenewstack.io/?attachment_id=6438115"><img alt="" class="aligncenter size-large wp-image-6438115" height="103" src="http://www.sickgaming.net/blog/wp-content/uploads/2019/01/an-introduction-to-the-machine-learning-platform-as-a-service.jpg" width="640" /></a></p>
<h3>Provision and Configure Environment</h3>
<p>Before the actual training takes place, developers and data scientists need a fully configured environment with the right hardware and software configuration.</p>
<p>Read more at <a href="https://thenewstack.io/an-introduction-to-the-machine-learning-platform-as-a-service/">The New Stack</a></p>
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