Issue #140

July 4, 2021

This weeks Data Science Book is "Interactive Dahsboard and Data Apps with Plotly and Dash" by E. Dabbas. In our lives as data scientists and machine learning engineers, we are often called upon to develop Dashboards and other Data Drive apps to communicate results or to monitor the performance of models deployed to production. Plotly and Dash are the current State of the Art libraries for interactive visualizations with a web frontend. This book does a remarkable job of getting you up to speed with both of these libraries taking you from basic to advanced level through practical building blocks that you can immediately customize for your own use.

Interactive Dashboard and Data Apps with Plotly and Dash

1. How Claude Shannon Helped Kick-start Machine Learning [spectrum.ieee.org]
2. AI Research SuperCluster [ai.facebook.com]
3. Researchers Build AI That Builds AI [quantamagazine.org]
4. 12 Notable Healthcare Datasets for 2022 [odsc.medium.com]
5. Data2vec is a New Self-Supervised Model that Works for Speech, Vision, and Text [pub.towardsai.net]
6. The fastest way to read a CSV in Pandas [pythonspeed.com]
7. AI System Named Inventor [spectrum.ieee.org]
8. Blockchains are cities [medium.com/dragonfly-research]

• Human genetic and immunological determinants of critical COVID-19 pneumonia (Q. Zhang, P. Bastard, A. Cobat, J.-L. Casanova)
• The shape of memory in temporal networks (O. E. Williams, L. Lacasa, A. P. Millán and V. Latora)
• One model for the learning of language (Y. Yang, S. T. Piantadosi)
• Encouraging the resumption of economic activity after COVID-19: Evidence from a large scale-field experiment in China (J. Palacios, Y. Fan, E. Yoeli, J. Wang, Y. Chai, W. Sun, D. G. Rand, S. Zheng)
• How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics? (C. Menghini, A. Anagnostopoulos, E. Upfal)
• Identifying critical nodes in complex networks by graph representation learning (E. Yu, D. Chen, Y. Fu, Y. Xu)
• Urban Landscape from the Structure of Road Network: A Complexity Perspective (H. N. Huynh, M. A. B. Ramli)

Scale EDA & ML Workloads To Clusters & Back With Dask

July 4, 2021

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