Issue #59
July 12, 2020
- 1. Python 101 – Debugging Your Code with pdb [blog.pythonlibrary.org]
- 2. The Case for Causal AI [ssir.org]
- 3. Fighting Coronavirus with AI, Part 2: Building a CT Scan COVID-19 Classifier Using PyTorch [blog.paperspace.com]
- 4. Predicting vs. Explaining [towardsdatascience.com]
- 5. Training GANs - From Theory to Practice [offconvex.org]
- 6. Sorry, But sns.distplot() Just Isn't Good Enough. This is, Though [towardsdatascience.com]
- 7. SymPy - a Python library for symbolic mathematics [sympy.org]
- • Pre-existing immunity to SARS-CoV-2: the knowns and unknowns (A. Sette, S. Crotty)
- • Machine learning control — explainable and analyzable methods (M. Quade, T. Isele, M. Abel)
- • Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions (J. Dehning, J. Zierenberg, F. P. Spitzner, M. Wibral, J. P. Neto, M. Wilczek, V. Priesemann)
- • Machine learning for COVID-19—asking the right questions (P. Bachtiger, N. S. Peters, S. L. F. Walsh)
- • GAMA: a General Automated Machine learning Assistant (P. Gijsbers, J. Vanschoren)
- • Predictability of real temporal networks (D. Tang, W. Du, L. Shekhtman, Y. Wang, S. Havlin, X. Cao, G. Yan)
- • A Decade of Social Bot Detection (S. Cresci)
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
All our videos are also available in our YouTube playlist.
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