Issue #172
September 12, 2022
This weeks Data Science Book is " Fundamentals of Data Engineering " by J. Reis and M. Housley. While our focus is on Data Science, we can't downplay the major role played by Data Engineering in practical Data projects. In this recent tome, the authors guide us through the thought processes, concepts and principles necessary to establish a successful Data Engineering operation to help support all of your data driven projects. They recommend a cloud first approach that allows for quick experimentation, adaptation and scaling.
- 1. How Shannon Entropy Imposes Fundamental Limits on Communication [quantamagazine.org]
- 2. How the SQLite Virtual Machine Works [fly.io]
- 3. The Tyranny of the Rocket Equation [nasa.gov]
- 4. Causality [scrib.am]
- 5. A Brief History of MLOps [odsc.medium.com]
- 6. Elucidating the Power of Inferential Statistics To Make Smarter Decisions! [pub.towardsai.net]
- 7. Python String Methods to Know [pythonmorsels.com]
- 8. Bitcoin Is Not the First Blockchain [levelup.gitconnected.com]
- • Explaining happiness trends in Europe (R. A. Easterlin, K. J. O’Connor)
- • Spatial Structure of City Population Growth (S. M. Reia, P. S. C. Rao, M. Barthelemy, S. V. Ukkusuri)
- • Towards Balanced Information Propagation in Social Media (M. Babaei, B. Mirzasoleiman, J. Joo, A. Weller)
- • Measuring the Velocity of Money (C. E.S. Mattsson, A. Luedtke, F. W. Takes)
- • A Review of Sparse Expert Models in Deep Learning (W. Fedus, J. Dean, B. Zoph)
- • A survey on hierarchical community detection in large-scale complex networks (M. Rezvani, F. S. Kazemian)
- • Document Classification with Hierarchical
All the videos of the week are now available in ourYoutube playlist.
All our videos are also available in our YouTube playlist.
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