50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktDataML —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience
COMPUTING
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50 Essential Algorithms Every Programmer Should Know
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New Wave of AI Data Centers Discussed in Feature
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We discuss it extensively in this feature on the new wave of A.I. data centers:
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Developer Denial: Ignoring QUIC Protocol Existence Strategy
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i still haven't come to terms with quic existing, so i pretend it doesn't
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PyTorch NVTX Profiler: Emit Markers for Operations
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torch.autograd.profiler.emit_nvtx.
It emits nvtx markers for every torch op. https://
docs.pytorch.org/docs/stable/au
tograd.html#torch.autograd.profiler.emit_nvtx
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Convex Optimization: Best-Seller Guide to Linear Programming Solutions
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Convex Optimization (#1 best-seller in Linear Programming): http://
amzn.to/40gXKZA Comprehensive introduction to the subject, this book shows how such problems can be solved numerically with great efficiency. Solutions are applicable to many fields: engineering, computer -
Data Engineering Best Practices for Cloud Architecture and Cost Optimization
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#DataEngineering Best Practices — Architect robust and cost-effective data solutions in the cloud era: http://
amzn.to/3BkZ6df via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Architect and engineer optimized data solutions in the cloud with best practices for performance and -
Entropy Deletion in Computing Systems and Negentropy
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Every time a bit gets deleted in a physical system, we have to expell it, or the system’s entropy increases. Top programmers also have to poop a lot. Food is a source of negentropy.
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Top Coders Share Insights on Learning and Development
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“Over 9000: what top level coders teach us about food for thought”
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GPU Workload Profiling with PyTorch and NVTX Annotations
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https://
dev-discuss.pytorch.org/t/using-nsight
-systems-to-profile-gpu-workload/59
… by @ptrblck_de https://
dev-discuss.pytorch.org/t/rfc-performa
nce-profiling-at-scale-with-detailed-nvtx-annotations/2224
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