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resources.paperdigest.org | ||
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elanapearl.github.io
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| | | | | (matrices & molecules) a collection of deep-dives into ML x bio | |
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eng.aurelienpierre.com
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| | | | | This is a follow-up on the previous Websites suck, which covered the preliminary information retrieval step. Introduction On the open-source planet, in the 2020's, information is scattered over many websites: scientific journals for theory, specification sheets for standards and protocols, software documentation for "how to use tool", blogs and Youtube tutorials for "how to achieve goal", forums and support for "how to solve problems", Github for "what is known to break" and "why design (or lack thereof) was done this way", sourcecode for implementation details, and books for everything considered worthy of paiement for access. | |
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aclanthology.org
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| | | | | [AI summary] The text provides an overview of various natural language processing (NLP) and machine learning research topics. It covers a wide range of areas including: grammatical error correction, text similarity measures, compositional distributional semantics, neural machine translation, dependency parsing, and political orientation prediction. The text also discusses the development of datasets for evaluating models, the importance of readability in reading comprehension tasks, and the use of advanced techniques such as nested attention layers and error-correcting codes to improve model performance. The key themes include the advancement of NLP models, the creation of evaluation datasets, and the exploration of new methods for text analysis and understa... | |
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nodesource.com
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| | | N|Sentinel takes observability beyond dashboards and metrics, using artificial intelligence to detect anomalies, analyze runtime behavior | ||
