Issue #85
January 10, 2021
Our very first Data Science Book is " Data Science for Business " by Foster Provost and Tom Fawcett. This book has the distinction of having been the first book I ever read when I first started getting interested in Data Science back in the day. While it doesn't dive into the Data Science programming stack, Provost and Fawcett have a gift for putting the fundamental concepts and ideas of Data Science into a practical business context that makes it clear when each algorithm should be applied and where they might be found lacking.
- 1. Donald Knuth: Mathematician and programming wizard [hindustantimes.com]
- 2. The Conspiracy Theory Handbook [climatechangecommunication.org]
- 3. The Capitol Attack Doesn’t Justify Expanding Surveillance [wired.com]
- 4. Science’s Demons, from Descartes to Darwin and Beyond [newyorker.com]
- 5. E.O. Wilson on Becoming a Great Scientist [fs.blog]
- 6. pytudes—Python programs, usually short, for perfecting particular programming skills [github.com/norvig]
- 7. Knowledge Graphs in NLP @ EMNLP 2020 [mgalkin.medium.com]
- • Retrospective analysis of the Italian exit strategy from COVID-19 lockdown (V. Marziano, G. Guzzetta, B. M. Rondinone, F. Boccuni, F. Riccardo, A. Bella, P. Poletti, F. Trentini, P. Pezzotti, S. Brusaferro, G. Rezza, S. Iavicoli, M. Ajelli, S. Merler)
- • A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy (G. Caldarelli, M. Cristelli, A. Gabrielli, L. Pietronero, A. Scala, A. Tacchella)
- • The Atlas for the Aspiring Network Scientist (M. Coscia)
- • Scaling Replicated State Machines with Compartmentalization (M. Whittaker, A. Ailijiang, A. Charapko, M. Demirbas, N. Giridharan, J. M. Hellerstein, H. Howard, I. Stoica, A. Szekeres)
- • Words describing feelings about death: A comparison of sentiment for self and others and changes over time (L. R. Miller-Lewis, T. W. Lewis, J. Tieman, D. Rawlings , D. Parker, C. R. Sanderson)
- • Using Fitbit data to examine factors that affect daily activity levels of college students (C. Wang, O. Lizardo, D. S. Hachen)
- • Interacting Discovery Processes on Complex Networks (I. Iacopini, G. Di Bona, E. Ubaldi, V. Loreto, V. Latora)
- • Combinatorial approach to spreading processes on networks (D. Mazzilli, F. Radicchi)
- • Algorithms for Learning Graphs in Financial Markets (J. V. de Miranda Cardoso, J. Ying, D. P. Palomar)
Retrieving OpenStreetMap data using OSMnx in Python
All our videos are also available in our YouTube playlist.
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