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4min chapter
671: Cloud Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring SageMaker, AWS ML Tools, and Upcoming Course
This chapter explores the advantages of utilizing SageMaker and AWS for machine learning tasks, highlighting features like model selection, ensemble methods, hyperparameter tuning, and recommends using SageMaker and RML for traditional ML projects. It also delves into various ML tools within AWS such as DeepRacer, Augmented AI, Forecast, Translate, Comprehend, Recognition, Transcribe, and Poly before concluding with a preview of an upcoming course on cloud for data science.
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