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Google introduces major upgrades to its Vertex AI platform

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At today's Google Cloud Applied ML Summit, the search and enterprise IT giant revealed a new group of product features and technology partnerships designed to help users create, deploy, manage and maintain machine learning (ML) models in production faster and more efficiently. The company's AI development environment, Vertex AI, launched a year ago at the Google I/O 21 conference, is the home base for all of the updates. This is a managed ML platform designed to enable developers to speed up the deployment and maintenance of their AI models. A central new addition to Vertex AI is its Prediction Service. In the graph data space, Google introduced a data partnership with Neo4j that connects graph-based machine learning models.


No-Code Machine Learning for Everyone

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This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale. Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance.


A Guide to Vertex AI - A Unified MLOps Platform by Google

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Vertex AI is an API developed by Google research that consists of AutoML and AI Platform in one place. As we know the AutoML that allows us to train models on different kinds of data like image, video, text data, without writing much code and in AI Platform lets you run custom training code while training the model. Vertex AI provides options for both AutoML training and custom training. We can choose options for training and can easily save and deploy the models, and request vertex AI to predict the values according to the model which we have trained.


No-Code Machine Learning: Practical Guide to Modern ML Tools - CouponED

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Do you want to leverage the power of Machine Learning without writing any code? Do you want to break into Machine Learning, but you feel overwhelmed and intimidated? Do you want to leverage Machine Learning for your business, but you don't have data science or mathematics background? If the answer is yes to any of these questions, you came to the right place! This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.


Google Cloud launches Vertex AI, a new managed machine learning platform – TechCrunch

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At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It's a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn't traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers. The launch of Vertex is the result of quite a bit of introspection by the Google Cloud team. "Machine learning in the enterprise is in crisis, in my view," Craig Wiley, the director of product management for Google Cloud's AI Platform, told me. "As someone who has worked in that space for a number of years, if you look at the Harvard Business Review or analyst reviews, or what have you -- every single one of them comes out saying that the vast majority of companies are either investing or are interested in investing in machine learning and are not getting value from it.