Issue #77
November 15, 2020
- 1. Inside the Secret Math Society Known Simply as Nicolas Bourbaki [quantamagazine.org]
- 2. Vector Hub: a library of State-of-the-art models to turn data into vectors [github.com/vector-ai]
- 3. Paul's Online Math Notes [tutorial.math.lamar.edu]
- 4. Introduction to Linear Algebra for Applied Machine Learning with Python [pabloinsente.github.io]
- 5. Use Sentiment Analysis With Python to Classify Movie Reviews [realpython.com]
- 6. Data Organization in Spreadsheets [tandfonline.com]
- 7. 8 Design Guidelines for Complex Applications [nngroup.com]
- • Initial economic damage from the COVID-19 pandemic in the United States is more widespread across ages and geographies than initial mortality impacts (M. Polyakova, G. Kocks, V. Udalova, A. Finkelstein)
- • Simulating the pandemic: What COVID forecasters can learn from climate models (D. Adam)
- • Statistical physics of complex information dynamics (A. Ghavasieh, C. Nicolini, M. De Domenico)
- • Understanding COVID-19 vaccine efficacy (M. Lipsitch, N. E. Dean)
- • A Theory of Universal Learning (O. Bousquet, S. Hanneke, S. Moran, R. van Handel, A. Yehudayoff)
- • Graph Kernels: State-of-the-Art and Future Challenges (K. Borgwardt, E. Ghisu, F. Llinares-López, L. O'Bray, B. Rieck)
- • On social networks that support learning (I. Arieli, F. Sandomirskiy, R. Smorodinsky)
- • Identifying influential nodes in complex networks: Effective distance gravity model (Q. Shang, Y. Deng, K. H. Cheong)
- • DoWhy: An End-to-End Library for Causal Inference (A. Sharma, E. Kiciman)
- • Explainable AI meets Healthcare: A Study on Heart Disease Dataset (D. Dave, H. Naik, S. Singhal, P. Patel)
Interpreting ML models with explainable AI
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