Issue #80
December 6, 2020
- 1. Gaussian Processes, not quite for dummies [thegradient.pub]
- 2. Adversarial machine learning and instrumental variables for flexible causal modeling [microsoft.com]
- 3. AlphaFold: a solution to a 50-year-old grand challenge in biology [deepmind.com]
- 4. The COVID Science Wars [scientificamerican.com]
- 5. NeuralProphet - A Neural Network based Time-Series model [github.com/ourownstory]
- 6. How to use Indexing for SQL Query Optimization [towardsdatascience.com]
- 7. Python Tools for Record Linking and Fuzzy Matching [pbpython.com]
- 8. EDA on Graphs via networkx [towardsdatascience.com]
- • Understanding the role of individual units in a deep neural network (D. Bau, J.-Y. Zhu, H. Strobelt, A. Lapedriza, B. Zhou, A. Torralba)
- • Machine-learning iterative calculation of entropy for physical systems (A. Nir, E. Sela, R. Beck, Y. Bar-Sinai)
- • Methods for correcting inference based on outcomes predicted by machine learning (S. Wang, T. H. McCormick, J. T. Leek)
- • Inferring a network from dynamical signals at its nodes (C. Weistuch, L. Agozzino, L. R. Mujica-Parodi, K. A. Dill)
- • Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model (S. Goldt, M. Mézard, F. Krzakala, L. Zdeborová)
- • Mathematical Game Theory (U. Faigle)
- • A Survey of Deep Learning Approaches for OCR and Document Understanding (N. Subramani, A. Matton, M. Greaves, A. Lam)
- • Statistical patterns of word frequency suggesting the probabilistic nature of human languages (S. Yu, C. Xu, H. Liu)
How to Do Sentiment Analysis With Tensorflow 2
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