Issue #10

August 5, 2019

---

1. 1. The Power of Weak Ties [Towards Data Science]
2. 2. Sorry ARIMA, but I'm Going Bayesian [Multi Threaded]
3. 3. An Introduction to Recurrent Neural Networks for Beginners [victorzhou.com]
4. 4. An Even Easier Introduction to CUDA [devblogs.nvidia.com]
5. 5. Machine Learning 101 [docs.google.com]
6. 6. Foundations Built for a General Theory of Neural Networks [Quanta Magazine]
7. 7. Unlocking Access to Self-Driving Research: The Lyft Level 5 Dataset and Competition [Lyft Level 5]

---

• • Bursty time series analysis for temporal networks (H.-H. Jo, T. Hiraoka)
• • Networks of Power: Analyzing World Leaders Interactions on Social Media (E. Iakhnis, A. Badawy)
• • The Mathematics of Text Structure (B. Coecke)
• • Graph Space Embedding (J. Pereira, A. Groen, E. Stroes, E. Levin)
• • Learning over inherently distributed data (D. Yan, Y. Xu)
• • Bitcoin Security under Temporary Dishonest Majority (G. Avarikioti, L. Kaeppeli, Y. Wang, R. Wattenhofer)

---