Issue #141
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.
- 1. Build your NFT app with ease [alchemy.com]
- 2. This 22-Year-Old Builds Chips in His Parents’ Garage [wired.com]
- 3. Diffusion models are autoencoders [benanne.github.io]
- 4. How to Mislead with Facts [consilienceproject.org]
- 5. The Economics of Data Businesses [pivotal.substack.com]
- 6. The AWK State Machine Parser Pattern [two-wrongs.com]
- 7. 2021 was the year of monster AI models [technologyreview.com]
- 8. Why academics shouldn’t add insult to industry [science.org]
- • The future of human behaviour research (J. M. Box-Steffensmeier, J. Burgess, M. Corbetta, K. Crawford, E. Duflo, L. Fogarty, A. Gopnik, S. Hanafi, M. Herrero, Y. Hong, Y. Kameyama, T. M. C. Lee, G. M. Leung, D. S. Nagin, A. C. Nobre, M. Nordentoft, A. Okbay, A. Perfors, L. M. Rival, C. R. Sugimoto, B. Tungodden, C. Wagner)
- • Sensitivity of non-conditional climatic variables to climate-change deep uncertainty using Markov Chain Monte Carlo simulation (B. Zolghadr-Asli, O. Bozorg-Haddad, M. Enayati, H. A. Loáiciga)
- • A High Performance Payment Processing System Designed for Central Bank Digital Currencies (J. Lovejoy, C. Fields, M. Virza T. Frederick, D. Urness, K. Karwaski, A. Brownworth, N. Narula)
- • Empirical Analysis of Aging Effects on Preferential Attachment with a Massive Twitter Dataset (K. S. Atwal, J. T. Murphy, I. Garibay)
- • Controlling Neural Networks with Rule Representations (S. Seo, S. O. Arik, J. Yoon, X. Zhang, K. Sohn, T. Pfister)
- • Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding (S. Hesamipour, M. A. Balafar, S. Mousazadeh)
- • The Geography of Facebook Groups in the United States (A. Herdağdelen, L. Adamic, B. State)
Natural Language Processing (NLP) in Python
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