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A weekly newsletter with the latest developments in Data Science and Machine Learning and Artificial Intelligence.
Issue #12
Aug 18, 2019
Get your week started with the latest developments in Data Science, Machine Learning and Artificial Intelligence.
Top Links:
Tutorials and blog posts that came across our desk this week.
Testing Scientific Code - How to Get Away with Bad Code
[pljung.de]
Exploring DNA with Deep Learning
[floydhub.com]
Why Momentum Really Works
[distill.pub]
Stop Using Zip Codes for Geospatial Analysis
[carto.com]
How node2vec works — and what it can do that word2vec
can’t [Free Code Camp]
Knowing Your Neighbours: Machine Learning on Graphs
[stellargraph]
Machine Learning: Association Rule Mining
[thedatum.data.blog]
Rules of Machine Learning: Best Practices for ML Engineering
[martin.zinkevich.org]
Fresh off the press:
Some of the most interesting academic papers published recently.
Spurious inference when comparing networks
(D. R. Farine, L. M. Aplin)
LSTM vs. GRU vs. Bidirectional RNN for script generation
(S. Mangal, P. Joshi, R. Modak)
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses
(H. Chen, M. Pendleton, L. Njilla, S. Xu)
One Model To Rule Them All
(F. Berkhahn, R. Keys, W. Ouertani, N. Shetty, D. Geißler)
Classical Information Theory of Networks
(F. Radicchi, D. Krioukov, H. Hartle, G. Bianconi)
Dynamical Processes in Time-Varying Networks
(B. Gonçalves, N. Perra)
Interactive coin offerings
(J. Teutsch, V. Buterin, C. Brown)
Upcoming Events:
Opportunities to learn from us
Sep 5, 2019
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[
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Sep 24, 2019
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DL From Scratch
-
Strata
-
NYC
[
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Sep 30, 2019
-
Deep Learning from Scratch
[
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] 🆕
Thank you for subscribing to our weekly newsletter with a quick overview of the world of Data Science and Machine Learning. Please share with your contacts to help us grow!
Publishes on Sunday.
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