Supervised & Unsupervised Machine Learning - The Type of Machine Learning to Use (Level 200)

Опубликовано 3 апреля 2019, 17:44

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We potentially know about a few use cases of Machine Learning and the need for models to be trained successfully to cater to the use cases. Have you ever wondered as to whether the algorithms you use to train models differ based on level of difficulty, the amount of labelled data required and complexity? Do algorithms belong to the different categories? This session lists out the broad categories in which ML algorithms fall under, and get into details of what and when a type of algorithm or a learning model is more suited than others. We also look at the built-in algorithms available with Amazon SageMaker, their categorization, and the examples used. Learn from actual customer references to better understand the applicability of the different types of use cases.

Speaker: Santanu Dutt, Senior Solution Architect Manager, AWS, ASEAN