Issue #53
May 31, 2020
- 1. Causality for Machine Learning [fastforwardlabs.com]
- 2. A beginner's guide to web scraping with Python [opensource.com]
- 3. The Ultimate Guide to Linear Regression [learningwithdata.com]
- 4. Practical Estimation of Missing Values Using Conditional Expectation [towardsdatascience.com]
- 5. Visualizing Science: How Color Determines What We See [eos.org]
- 6. How to apply Reinforcement Learning to real life planning problems [medium.com/free-code-camp]
- 7. Detecting the Fault Line Using Principal Component Analysis (PCA) [medium.com/@ns2586]
- • Network effects govern the evolution of maritime trade (Z. Kosowska-Stamirowska)
- • Modeling the temporal network dynamics of neuronal cultures (J. Cadena, A. P. Sales, D. Lam, H. A. Enright, E. K. Wheeler, N. O. Fischer)
- • Statistical learning theory of structured data (M. Pastore, P. Rotondo, V. Erba, M. Gherardi)
- • Adaptive social networks promote the wisdom of crowds (A. Almaatouq, A. Noriega-Campero, A. Alotaibi, P. M. Krafft, M. Moussaid, A. Pentland)
- • Causal Bayesian Optimization (V. Aglietti, X. Lu, A. Paleyes, J. González)
- • Estimates of the proportion of SARS-CoV-2 infected individuals in Sweden (H. Hult, M. Favero)
- • Temporal Network Motifs: Models, Limitations, Evaluation (P. Liu, V. Guarrasi, A. E. Sarıyüce)
All our videos are also available in our YouTube playlist.
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