Issue #63
August 9, 2020
- 1. Immunology Is Where Intuition Goes to Die [theatlantic.com]
- 2. Leveraging Machine Learning to Fuel New Discoveries with the arXiv Dataset [blogs.cornell.edu]
- 3. Declarative Data Visualization [haifengl.github.io]
- 4. Bayes Theorem: A Framework for Critical Thinking [neilkakkar.com]
- 5. Unsplash's dataset is now open source [unsplash.com]
- 6. Simon's Algorithm [leimao.github.io]
- 7. EEG-Datasets [github.com/meagmohit]
- • How the pandemic might play out in 2021 and beyond (M. Scudellari)
- • The mathematician who helped to reshape physics (D. Castelvecchi)
- • Wealth distribution under the spread of infectious diseases (G. Dimarco, L. Pareschi, G. Toscani, M. Zanella)
- • Cautious Active Clustering (A. Cloninger, H. Mhaskar)
- • Graph Neural Networks: Architectures, Stability and Transferability (L. Ruiz, F. Gama, A. Ribeiro)
- • Distribution-Free Models of Social Networks (T. Roughgarden, C. Seshadhri)
- • Superspreading of SARS-CoV-2 in the USA (C. Pozderac, B. Skinner)
- • An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks (B. K. Iwana, S. Uchida)
- • Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media (S. Giorgi, V. Lynn, S. Matz, L. Ungar, H. A. Schwartz)
Robert Meyer - Analysing user comments with Doc2Vec and Machine Learning classification
All our videos are also available in our YouTube playlist.
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