Issue #173

September 19, 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.

Fundamentals of Data Engineering

1. Gödel, Escher, Bach: an in-depth explainer [alignmentforum.org]
2. AI Content Generation, Part 1: Machine Learning Basics [jonstokes.com]
3. How Transformers Seem to Mimic Parts of the Brain [quantamagazine.org]
4. A serverless architecture for high performance financial modelling [aws.amazon.com]
5. GraphWorld: Advances in Graph Benchmarking [ai.googleblog.com]
6. Number theory explained from first principles [explained-from-first-principles.com]
7. From Deep Learning Foundations to Stable Diffusion [fast.ai]

• A causal test of the strength of weak ties (K. Rajkumar, G. St-Jacques, I. Bojinov, E. Brynjolfsson, S. Aral)
• Machine learning can guide food security efforts when primary data are not available (G. Martini, A. Bracci, L. Riches, S. Jaiswal, M. Corea, J. Rivers, A. Husain, E. Omodei)
• Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders? (A. Tommasel, F. Menczer)
• Geolocation of multiple sociolinguistic markers in Buenos Aires (O. Kellert, N. H. Matlis)
• Deep Neural Networks as Complex Networks (E. La Malfa, G. La Malfa, C. Caprioli, G. Nicosia, V. Latora)
• Complex systems science and urban science: towards applications to sustainability trade-offs in territorial systems (J. Raimbault, D. Pumain)
• Basic concepts of single networks (J. Gao, A. Bashan, L. Shekhtman, S. Havlin)

All the videos of the week are now available in ourYoutube playlist.

September 19, 2022

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