Issue #42
March 15, 2020
- 1. Discovering hidden patterns in high dimensional time series [medium.com/bag-of-words]
- 2. Making Data Trees in Python [medium.com/swlh]
- 3. Build a Shipment Notification Service with Python, Flask, Twilio and EasyPost [twilio.com]
- 4. 10 Ways that Human-in-the-Loop Machine Learning is Used Today [freecontent.manning.com]
- 5. Deep Reinforcement Learning For Trading Applications [alphaarchitect.com]
- 6. Here's How Fast the Coronavirus Could Infect Over 1 Million Americans [time.com]
- 7. An Introduction to Simpson's Paradox [towardsdatascience.com]
- • Using "outbreak science" to strengthen the use of models during epidemics (C. Rivers, J.-P. Chretien, S. Riley, J. A. Pavlin, et al)
- • The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak (M. Chinazzi, J. T. Davis, M. Ajelli, C. Gioannini, M. Litvinova et al)
- • Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London (L. M. Aiello, D. Quercia, R. Schifanella, L. Del Prete)
- • The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009--2020 (T. Alshaabi, D. R. Dewhurst, J. R. Minot, M. V. Arnold, J. L. Adams, C. M. Danforth, P. S. Dodds)
- • Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation (R. Moraffah, M. Karami, R. Guo, A. Raglin, H. Liu)
- • Automatic Machine Learning Derived from Scholarly Big Data (A. Greenstein-Messica, R. Vainshtein, G. Katz, B. Shapira, L. Rokach)
Exponential growth and epidemics
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