Issue #18
September 29, 2019
- 1. Deep Learning in a Nutshell [nikhilbuduma.com]
- 2. Introduction to LSTMs with TensorFlow [oreilly.com]
- 3. Beta Distribution [What, When & How] [medium.com/w2hds]
- 4. Novelist Cormac McCarthy's tips on how to write a great science paper [nature.com]
- 5. Quantum Theory Rebuilt From Simple Physical Principles [quantamagazine.org]
- 6. Deep Learning for NLP: ANNs, RNNs and LSTMs explained! [towardsdatascience.com]
- 7. Python For Finance: Algorithmic Trading [datacamp.com]
- 8. The history and legacy of jQuery [blog.logrocket.com]
- • Signaling the trustworthiness of science (K. H. Jamieson, M. McNutt, V. Kiermer, R. Sever)
- • Mining Human Mobility Data to Discover Locations and Habits (T. Andrade, B. Cancela, J. Gama)
- • Prism: Scaling Bitcoin by 10,000x (L. Yang, V. Bagaria, G. Wang, M. Alizadeh, D. Tse, G. Fanti, P. Viswanath)
- • On Understanding Knowledge Graph Representation (C. Allen, I. Balazevic, T. M. Hospedales)
- • Learning Deep Architectures for AI (Y. Bengio)
- • Social contagion models on hypergraphs (G. F. Arruda, G. Petri, Y. Moreno)
Nick Bostrom - The Ethics of The Artificial Intelligence Revolution
All our videos are also available in our YouTube playlist.
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