Issue #127
July 4, 2021
This weeks Data Science Book is " The Data Science Handbook " by F. Cady, data scientist at the Allen Institute for Artificial Intelligence. The proliferation of new toolkits, algorithms and approaches in Data Science make it easy to lose track of the latest developments. In this handbook, Cady presents us a comprehensive overview of the entire field. In this well written and easy to read reference the author uses practical examples and practical applications to bring the underlying theory to the real world. We feel that this book is at its most useful for when you need to quickly review a topic or to get a to the point overview of a new technique to decide whether its worth trying to apply it to your own work.
- 1. A First-Principles Theory of Neural Network Generalization [bair.berkeley.edu]
- 2. How to deploy machine learning with differential privacy? [differentialprivacy.org]
- 3. How AI is reinventing what computers are [technologyreview.com]
- 4. The Age of Machine Learning As Code Has Arrived [huggingface.co]
- 5. SHAP: Explain Any Machine Learning Model in Python [towardsdatascience.com]
- 6. Reflections on Foundation Models [thegradient.pub]
- • The interplay between communities and homophily in semi-supervised classification using graph neural networks (H. Hussain, T. Duricic, E. Lex, D. Helic, R. Kern)
- • Universal patterns of long-distance commuting and social assortativity in cities (E. Bokányi, S. Juhász, M. Karsai, B. Lengyel)
- • Node-based Generalized Friendship Paradox fails (A. Evtushenko, J. Kleinberg)
- • Non-deep Networks (A. Goyal, A. Bochkovskiy, J. Deng, V. Koltun)
- • SciCap: Generating Captions for Scientific Figures (T.-Y. Hsu, C. L. Giles, T.-H. Huang)
- • Robustness modularity in complex networks (F. N. Silva, A. Albeshri, V. Thayananthan, W. Alhalabi, S. Fortunato)
- • Comparison of Indicators of Location Homophily Using Twitter Follow Graph (S. Hironaka, M. Yoshida, K. Umemura)
- • Learning Time-Varying Graphs from Online Data (A. Natali, E. Isufi, M. Coutino, G. Leus)
Introduction to NetworkX in Python
All our videos are also available in our YouTube playlist.
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