AWS SageMaker is a fully-managed service that enables data scientists to build, train, and deploy ML models at any scale. AWS SageMaker is based on Jupyter Notebook, so that developers can use a familiar user interface to build their own analytics. The basic concepts of SageMaker are the same as Azure ML. We can build our analytics on Jupyter and our training cluster through a Python API, and then deploy our model as a web app that can be consumed through a REST API. SageMaker also supports built-in algorithms to train our model. These include K-Means, K-Nearest Neighbors, Linear Learner, Neural Topic Model (NTM), Principal Component Analysis (PCA), and Random Cut Forest.
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You're reading from Hands-On Industrial Internet of Things
Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.
Read more about Giacomo Veneri
Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.
Read more about Antonio Capasso
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Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.
Read more about Giacomo Veneri
Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.
Read more about Antonio Capasso