Issue #13
August 25, 2019
- 1. Stand out as a speaker [Science]
- 2. Transformers from scratch [peterbloem.nl]
- 3. Taking It to the Streets: Ride in an NVIDIA Self-Driving Car with DRIVE Labs [NVIDIA]
- 4. 20 Open Datasets for Natural Language Processing [ODSC]
- 5. Python Pandas at Extreme Performance [Towards Data Science]
- 6. Guidelines for A/B Testing [hookedondata.org]
- 7. Network Visualization in Python [github.com/carnby/]
- 8. Turbo, An Improved Rainbow Colormap for Visualization [ai.googleblog.com]
- • Auditing Radicalization Pathways on YouTube (M. H. Ribeiro, R. Ottoni, R. West, V. A. F. Almeida, W. Meira)
- • Sensitivity and Generalization in Neural Networks: an Empirical Study (R. Novak, Y. Bahri, D. A. Abolafia, J. Pennington, J. Sohl-Dickstein)
- • Deep Learning and the Information Bottleneck Principle (N. Tishby, N. Zaslavsky)
- • On the statistical mechanics of life: Schrödinger revisited (K. Jeffery, R. Pollack, C. Rovelli)
- • Do no harm: a roadmap for responsible machine learning for health care (J. Wiens, S. Saria, M. Sendak, M. Ghassemi, V. X. Liu, F. Doshi-Velez, K. Jung, K. Heller, D. Kale, M. Saeed, P. N. Ossorio, S. Thadaney-Israni, A. Goldenberg)
Ten Financial Applications of Machine Learning | Dr. Marcos López de Prado
All our videos are also available in our YouTube playlist.
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