Issue #44
March 29, 2020
- 1. An Introduction to Python and Programming [github.com/webartifex]
- 2. Color in Data Visualization: Less How, More Why [towardsdatascience.com]
- 3. How to Make Remote Work Effective for Data Science Teams [www.comet.ml]
- 4. Predicting Dengue Spread Using Seasonal ARIMAX Model and Meteorological Data [towardsdatascience.com]
- 5. Automate These 3 (Boring!!) Excel Tasks with Python! [towardsdatascience.com]
- 6. SimPy: Simulating Real-World Processes With Python [realpython.com]
- 7. Visualizing Neural Networks with the Grand Tour [distill.pub]
- 8. Write Unbreakable Python [jessewarden.com]
- • Machine learning for cluster analysis of localization microscopy data (D. J. Williamson, G. L. Burn, S. Simoncelli, J. Griffié, R. Peters, D. M. Davis, D. M. Owen)
- • Human migration: the big data perspective (A. Sîrbu, G. Andrienko, N. Andrienko, C. Boldrini, M. Conti, et al)
- • With COVID-19, modeling takes on life and death importance (M. Enserink, K. Kupferschmidt)
- • Time series and machine learning to forecast the water quality from satellite data (M. R. A. Shehhi, A. Kaya)
- • FastDTW is approximate and Generally Slower than the Algorithm it Approximates (R. Wu, E. J. Keogh)
- • Julia Language in Machine Learning: Algorithms, Applications, and Open Issues (K. Gao, J. Tu, Z. Huo, G. Mei, F. Piccialli, S. Cuomo)
- • Using word embeddings to improve the discriminability of co-occurrence text networks (L. V. C. Quispe, J. A. V. Tohalino, D. R. Amancio)
- • Stanza: A Python Natural Language Processing Toolkit for Many Human Languages (P. Qi, Y. Zhang, Y. Zhang, J. Bolton, C. D. Manning)
AlphaGo - The Movie | Full Documentary
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