Issue #109
June 27, 2021
- 1. Machine Learning Model Interpretation [towardsdatascience.com]
- 2. Same or Different? The Question Flummoxes Neural Networks [quantamagazine.org]
- 3. Deep Learning for AI [cacm.acm.org]
- 4. Applied NLP Thinking: How to Translate Problems into Solutions [explosion.ai]
- 5. Concept Drift 101 [opendatascience.com]
- 6. Deep scatterplots [creatingdata.us]
- 7. A from-scratch tour of Bitcoin in Python [karpathy.github.io]
- • High-frequency trading and networked markets (F. Musciotto, J. Piilo, R. N. Mantegna)
- • Learning on knowledge graph dynamics provides an early warning of impactful research (J. W. Weis, J. M. Jacobson)
- • AI for radiographic COVID-19 detection selects shortcuts over signal (A. J. DeGrave, J. D. Janizek, S.-I. Lee)
- • Association between COVID-19 outcomes and mask mandates, adherence, and attitudes (D. Adjodah, K. Dinakar, M. Chinazzi, S. P. Fraiberger, A. Pentland, S. Bates, K. Staller, A. Vespignani, D. L. Bhatt)
- • Observation, experimentation, and replication in linguistics (J. Grieve)
- • Visualizing Evolving Trees (K. Gray, M. Li, R. Ahmed, S. Kobourov)
- • Graph Neural Networks for Natural Language Processing: A Survey (L. Wu, Y. Chen, K. Shen, X. Guo, H. Gao, S. Li, J. Pei, B. Long)
- • Machine Learning-Based Algorithms to Knowledge Extraction from Time Series Data: A Review (G. Ciaburro, G. Iannace)
- • Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders (M. Ziatdinov, C. Y. Wong, S. V. Kalinin)
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