Issue #64
August 16, 2020
- 1. Computational Causal Inference at Netflix [netflixtechblog.com]
- 2. Intro to Autoencoders [tensorflow.org]
- 3. Use causal graphs! [towardsdatascience.com]
- 4. ANOVA explained without math: Why analyze variances to compare means? [medium.com/@peterflom]
- 5. A Practical Guide to Maintaining Machine Learning in Production [eugeneyan.com]
- 6. How To Use the Python Map Function [digitalocean.com]
- 7. Entropy Explained, With Sheep [aatishb.com]
- • Microstructure in the Machine Age (D. Easley, M. López de Prado, M. O'Hara, Z. Zhang)
- • Epidemic spreading in heterogeneous networks with recurrent mobility patterns (L. Feng, Q. Zhao, C. Zhou)
- • Towards Visually Explaining Similarity Models (M. Zheng, S. Karanam, T. Chen, R. J. Radke, Z. Wu)
- • So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning? (M. F. Sohan)
- • Random Walks: A Review of Algorithms and Applications (F. Xia, J. Liu, H. Nie, Y. Fu, L. Wan, X. Kong)
- • Big Networks: A Survey (H. D. Bedru, S. Yu, X. Xiao, D. Zhang, L. Wan, H. Guo, F. Xia)
- • A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models (P. Vadiraja, M. A. Chattha)
All our videos are also available in our YouTube playlist.
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