Issue #170
August 28, 2022
This weeks Data Science Book is "Fundamentals of Data Engineering" by J. Reis and M. Housley. While our focus is on Data Science, we can't downplay the major role played by Data Engineering in practical Data projects. In this recent tome, the authors guide us through the thought processes, concepts and principles necessary to establish a successful Data Engineering operation to help support all of your data driven projects. They recommend a cloud first approach that allows for quick experimentation, adaptation and scaling.
- 1. The Great American Bubble Machine [ollingstone.com]
- 2. A Short Guide to Hard Problems [quantamagazine.org]
- 3. State Machines [blog.yoshuawuyts.com]
- 4. The Jupyter+git problem is now solved [fast.ai]
- 5. Why Data Scientists Should Learn Causal Inference [leihua-ye.medium.com]
- 6. 4 Techniques To Tackle Overfitting In Deep Neural Networks [heartbeat.comet.ml]
- 7. Probabilistic programming in finance: a robust Sharpe ratio estimate [medium.com/@christophmark]
- 8. AI And The Limits Of Language [noemamag.com]
- 9. Stable Diffusion Public Release [stability.ai]
- 10. 10 Regression Metrics Data Scientist Must Know [medium.com/@tzjy]
- • Multilayer Network Science: From Cells to Societies (O. Artime, B. Benigni, G. Bertagnolli, V. d'Andrea, R. Gallotti, A. Ghavasieh, S. Raimondo, M. De Domenico)
- • Americans experience a false social reality by underestimating popular climate policy support by nearly half (G. Sparkman, N. Geiger, E. U. Weber)
- • Modeling algorithmic bias: simplicial complexes and evolving network topologies (V. Pansanella, G. Rossetti, L. Milli)
- • Consistent predator-prey biomass scaling in complex food webs (D. M. Perkins, I. A. Hatton, B. Gauzens, A. D. Barnes, D. Ott, B. Rosenbaum, C. Vinagre, U. Brose)
- • News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization (T. Cicchini, S. M. del Pozo, E. Tagliazucchi, P. Balenzuela)
- • Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2 (E. J. Kuylen, A. Torneri, L. Willem, P. J. K. Libin, S. Abrams, P. Coletti, N. Franco, F. Verelst, P. Beutels, J. Liesenborgs, N. Hens)
- • Dismantling Complex Networks by a Neural Model Trained from Tiny Networks (J. Zhang, B. Wang)
- • Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams (T. Kimura, Y. Matsubara, K. Kawabata, Y. Sakurai)
All the videos of the week are now available in ourYoutube playlist.
All our videos are also available in our YouTube playlist.
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