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Ilmu Data di AWS
Data Science on AWS
Undergraduate Theses from #PUBLISHER#Oleh : Chris Fregly and Antje Barth
Dibuat : 2022-06-14, dengan 1 file
Keyword : Data Science on AWS
Dalam bab ini, kita membahas manfaat membangun proyek ilmu data di cloud.
Kami mulai dengan membahas manfaat komputasi awan. Selanjutnya, kami menggambarkan tipikal
alur kerja machine learning dan tantangan umum untuk memindahkan model kami dan
aplikasi dari fase prototyping ke produksi. Kami menyentuh manfaat keseluruhan
manfaat pengembangan proyek ilmu data di Amazon Web Services (AWS) dan pengenalan
menghasilkan layanan AWS yang relevan untuk setiap langkah alur kerja pengembangan model. Kita
juga berbagi praktik terbaik arsitektur, khususnya seputar keunggulan operasional,
keamanan, keandalan, kinerja, dan optimalisasi biaya.
In this chapter, we discuss the benefits of building data science projects in the cloud.
We start by discussing the benefits of cloud computing. Next, we describe a typical
machine learning workflow and the common challenges to move our models and
applications from the prototyping phase to production. We touch on the overall benâ
efits of developing data science projects on Amazon Web Services (AWS) and introâ
duce the relevant AWS services for each step of the model development workflow. We
also share architectural best practices, specifically around operational excellence,
security, reliability, performance, and cost optimization.
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File : 2021 Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines.pdf
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