Issue #5
June 30, 2019
- 1. How Artificial Intelligence Is Changing Science [quantamagazine.org]
- 2. Microsoft makes AI debugging and visualization tool TensorWatch open source [microsoft.com]
- 3. Elements of Statistical Learning [stanford.edu]
- 4. Innovations in Graph Representation Learning [ai.googleblog.com]
- 5. ARIMA Model – Complete Guide to Time Series Forecasting in Python [machinelearningplus.com]
- 6. Hidden Markov Models - An Introduction [quantstart.com]
- • Neural Architecture Search with Reinforcement Learning (B. Zoph, Q. V. Le)
- • Crowd-sourced cognitive mapping: A new way of displaying people's cognitive perception of urban space (K. M. Jang, Y. Kim)
- • Probabilistic Logic Neural Networks for Reasoning (M. Qu, J. Tang)
- • Scaling trajectories of cities (M. Keuschnigg)
- • A Review on Deep Learning in Medical Image Reconstruction (H. Zhang, B. Dong)
- • Visualizing Dynamic Bitcoin Transaction Patterns (D. McGinn, D. Birch, D. Akroyd, M. Molina-Solana, Y. Guo, W. J. Knottenbelt)
Enjoy the newsletter?
Forward it to a friend, or subscribe to get it straight to your inbox.
Subscribe Free