Issue #33
January 12, 2020
- 1. Generative adversarial networks: What GANs are and how they've evolved [venturebeat.com]
- 2. An Idea From Physics Helps AI See in Higher Dimensions [quantamagazine.org]
- 3. Machine Learning Can't Handle Long-Term Time-Series Data [lesswrong.com]
- 4. Karate Club is an unsupervised machine learning extension library for NetworkX [github.com/benedekrozemberczki]
- 5. Tutorial: Python Regex (Regular Expressions) for Data Scientists [dataquest.io]
- 6. Pairs Trading with Cryptocurrencies [towardsdatascience.com]
- 7. Markov Chain Monte Carlo - A visual interpretation with Python [medium.com/analytics-vidhya]
- • Mathematical languages shape our understanding of time in physics (N. Gisin)
- • Traffic-driven epidemic spreading in multiplex networks (J. Chen, M.-B. Hu, M. Li)
- • Large-scale Gender/Age Prediction of Tumblr Users (Y. Zhan, C. Hu, Y. Hu, T. Kasturi, S. Ramasamy, M. Gillingham, K. Yamamoto)
- • The Matrix Calculus You Need For Deep Learning (T. Parr, J. Howard)
- • A Soft Recommender System for Social Networks (M. Pourhojjati-Sabet, A. Rabiee)
- • On Interpretability of Artificial Neural Networks (F. Fan, J. Xiong, G. Wang)
- • Artificial Intelligence for Social Good: A Survey (Z. R. Shi, C. Wang, F. Fang)
Uncovering Behavioural Biases with Machine Learning | London Business School
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