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[docs] added new ML systems research papers #6

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[docs] added new ML systems research papers #6

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aghilann
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Adding a curated selection of machine learning systems research papers and courses to the repository. The following papers have been added:

  • PyTorch: An Imperative Style, High-Performance Deep Learning Library
  • MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale
  • The Case for Learning Index Structures

Additionally, a new section has been created for Courses on ML Systems

  • CMU: Deep Learning Systems
  • MIT: TinyML and Efficient Deep Learning Computing
  • Stanford: CS329S: Machine Learning Systems Design

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