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www.interviewbit.com
| | zietlow.io
2.7 parsecs away

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| | Basic data structure and algorithms implemented within go
| | www.techinterviewhandbook.org
1.9 parsecs away

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| | Study guides for coding interviews with focus on data structures and algorithms, including practice questions, techniques, time complexity and recommended resources
| | fbeedle.com
4.4 parsecs away

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| | This book provides a distinct way to teach discrete mathematics. Since discrete mathematics is crucial for rigorous study in computer science, many texts include applications of mathematical topics to computer science or have selected topics of particular interest to computer science.
| | francisbach.com
25.2 parsecs away

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| [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms.