Issue #26
November 24, 2019
- 1. AI today and tomorrow is mostly about curve fitting, not intelligence [diginomica.com]
- 2. All about Network Effects [a16z.com]
- 3. Model Tuning and the Bias-Variance Tradeoff [r2d3.us]
- 4. Time Series Hierarchical Clustering using Dynamic Time Warping in Python [towardsdatascience.com]
- 5. Why We Need Graph Analytics for Real-World Predictions [medium.com/@ODSC]
- 6. Knowledge Graphs and Machine Learning [towardsdatascience.com]
- 7. Complete Guide to Word Embeddings [nlpforhackers.io]
- 8. AWS Data Exchange – Find, Subscribe To, and Use Data Products [aws.amazon.com]
- • From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data (Y. Liao, S. Yeh, G. S. Jeuken)
- • Hacking Neural Networks: A Short Introduction (M. Kissner)
- • On the choice of graph neural network architectures (C. Vignac, G. Ortiz-Jiménez, P. Frossard)
- • Pathways to conspiracy: The social and linguistic precursors of involvement in Reddit's conspiracy theory forum (C. Klein, P. Clutton, A. G. Dunn)
- • Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research (E. Keogh J. Lin)
- • Wikidata from a Research Perspective -- A Systematic Mapping Study of Wikidata (M. Farda-Sarbas, C. Müller-Birn)
- • Visualization by Example (C. Wang, Y. Feng, R. Bodik, A. Cheung, I. Dillig)
- • Deep Learning on Graphs: A Survey (Z. Zhang, P. Cui, W. Zhu)
Neural networks [1.1] : Feedforward neural network - artificial neuron
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