Issue #100
April 25, 2021
This weeks Data Science Book is " Transformers for Natural Language Processing " by D. Rothman. Transformers are the latest generation deep learning architecture for NLP that gained prominence in recent years by surpassing the performance of RNNs, GRUs and LSTMs. This book provides a grounded introduction to Transformers from the perspective of cognitive science so that you can quickly master the fundamentals and grow to apply them to your own work.
- 1. Artificial general intelligence: Are we close, and does it even make sense to try? [technologyreview.com]
- 2. Building Large Scale Systems and Products with Python [engineering.soroco.com]
- 3. How to use Plotly as Pandas Plotting Backend [towardsdev.com]
- 4. Time series forecasting (Part 2 of 3): Selecting algorithms [medium.com/data-science-at-microsoft]
- 5. What Is Your Model Hiding? A Tutorial on Evaluating ML Models [evidentlyai.com]
- 6. Central Bank Digital Currency: opportunities, challenges and design [bankofengland.co.uk]
- 7. A new way to make maps with OpenStreetMap [protomaps.com]
- 8. Blockchain applications in the United Nations [unjiu.org]
- 9. Explore Your Clubhouse Social Graph [clubhousesocialgraph.com]
- 10. Cerebras’ New Monster AI Chip Adds 1.4 Trillion Transistors [spectrum.ieee.org]
- • The Trojan-horse mechanism: How networks reduce gender segregation (M. Arvidsson, F. Collet, P. Hedström1)
- • Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading (S. Winkelmann, J. Zonker, C. Schütte, N. D. Conrad)
- • Online Sampling of Temporal Networks (N. K. Ahmed, N. Duffield, R. A. Rossi)
- • Quantifying firm-level economic systemic risk from nation-wide supply networks (C. Diem, A. Borsos, T. Reisch, J. Kertész, S. Thurner)
- • Affording Twitter in Emergency Situations: The Occurrence of Rumor Sense-Making (M. Mirbabaie, I. Amojo, S. Stieglitz)
- • Explicit and implicit network connectivity: Analytical formulation and application to transport processes (E. Ser-Giacomi, T. Legrand, I. Hernandez-Carrasco, V. Rossi)
- • From temporal network data to the dynamics of social relationships (V. Gelardi, A. Barrat, N. Claidière)
- • Simpson's Paradox in Covid-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects (J. von Kugelgen, L. Gresele, B. Scholkopf)
- • Principal Components along Quiver Representations (A. Seigal, H. A. Harrington, V. Nanda)
Forecasting at Scale: How and Why We Developed Prophet for Forecasting at Facebook
All our videos are also available in our YouTube playlist.
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