Issue #144
July 4, 2021
- 1. A Gentle Introduction to Vector Databases [frankzliu.com]
- 2. Machine Learning is Still Too Hard for Software Engineers [nyckel.com]
- 3. Time-series forecasting with MindsDB [aicoding.substack.com]
- 4. Explanation of Bitcoin’s Elliptic Curve Digital Signature Algorithm [suhailsaqan.medium.com]
- 5. These Maps Reveal the Hidden Structures of ‘Choose Your Own Adventure’ Books [atlasobscura.com]
- 6. Logistic Regression from Bayes' Theorem [countbayesie.com]
- 7. Curve fitting (non-linear least-square) to a 2D contour plot using python [nitaghosh.medium.com]
- 8. Just Enough Theoretical Underpinnings for NLP [opendatascience.com]
- • Three Decades in Econophysics—From Microscopic Modelling to Macroscopic Complexity and Back (A. Smolyak, S. Havlin)
- • Brains and algorithms partially converge in natural language processing (C. Caucheteux, J.-R. King)
- • What are the Most Important Statistical Ideas of the Past 50 Years? (A. Gelman, A. Vehtari)
- • Modeling Tweet Dependencies with Graph Convolutional Networks for Sentiment Analysis (A. Keramatfar, H. Amirkhani, A. J. Bidgoly)
- • The metric backbone preserves community structure and is a primary transmission subgraph in contact networks (R. B. Correia, A. Barrat, L. M. Rocha)
- • Graph Data Augmentation for Graph Machine Learning: A Survey (T. Zhao, G. Liu, S. Günnemann, M. Jiang)
- • Three Decades of Deception Techniques in Active Cyber Defense -- Retrospect and Outlook (L. Zhang, V. L. L. Thing)
Deep Learning With PyTorch
All our videos are also available in our YouTube playlist.
Enjoy the newsletter?
Forward it to a friend, or subscribe to get it straight to your inbox.
Subscribe Free