Issue #119
July 4, 2021
This weeks Data Science Book is " Fundamentals of Data visualization " by C. O. Wilke. Here at D4Sci we're firm believers that an image is worth 1000 words (check out V4Sci if you haven't already) and this book will quickly and easily super charge your visualization skills. Wilke brings to bear the perspective of a Data Scientist to a field often dominated by Designers. Throughout this book, Wilke teaches you how to craft powerful visualizations with your tool or programming language of choice by introducing only as much visualization theory and concepts as necessary and without getting lost in abstract ideas or concepts. The authors experience as a Data Science makes this one of the best applied books on Visualization, despite the fact that the book is entirely language agnostic.
- 1. A Gentle Introduction to Graph Neural Networks [distill.pub]
- 2. How Computationally Complex Is a Single Neuron? [quantamagazine.org]
- 3. A visual introduction to Gaussian Belief Propagation [gaussianbp.github.io]
- 4. Writing Well-Documented Code - Learn from Examples [codecatalog.org]
- 5. Pigeons outperform humans at the Monty Hall Dilemma [discovermagazine.com]
- 6. Chaikin's Algorithm – Drawing Curves [bit-101.com]
- 7. Introduction to Cultural Analytics & Python [melaniewalsh.github.io]
- • Machine learning dismantling and early-warning signals of disintegration in complex systems (M. Grassia, M. De Domenico, G. Mangioni)
- • A modified DeepWalk method for link prediction in attributed social network (K. Berahmand, E. Nasiri, M. Rostami, S. Forouzandeh)
- • Link Prediction Algorithm Based on Resource Allocation and Graph Embedding Weighting (Y.-y. Wan, J.-l. Guo)
- • Self-testing and vaccination against COVID-19 to minimize school closure (E. Colosi, G. Bassignana, D. A. Contreras, C. Poirier, S. Cauchemez, Y. Yazdanpanah, B. Lina, A. Fontanet, A. Barrat, V. Colizza)
- • The Temporal Rich Club Phenomenon (N. Pedreschi, D. Battaglia, A. Barrat)
- • Identifying super-spreaders in information-epidemic coevolving dynamics on multiplex networks (Q. Zeng, Y. Liu, M. Tang, J. Gong)
- • Hidden Technical Debt in Machine Learning Systems (D. Sculley, G. Holt, D. Golovin, E. Davydov, T. Phillips, D. Ebner, V. Chaudhary, M. Young, J.-F. Crespo, D. Dennison)
- • Simulating urban dynamics and international governance of transportation infrastructure projects (J. Raimbault)
Python Tutorial Series: Cartopy
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