Issue #39
February 23, 2020
- 1. M3DB, a distributed timeseries database [m3db.io]
- 2. The designer who illustrated racism, inequality, and black life in America, 120 years ago [fastcompany.com]
- 3. What Are Natural Experiments? Methods, Approaches, and Applications [opendatascience.com]
- 4. How To Take Smart Notes [praxis.fortelabs.co]
- 5. Embeddings from the Ground Up [singlelunch.com]
- 6. Getting Started with Datasets in Keras [towardsdatascience.com]
- 7. Limitations of Deep Learning for Vision, and How We Might Fix Them [thegradient.pub]
- • Mining gold from implicit models to improve likelihood-free inference (J. Brehmer, G. Louppe, J. Pavez, K. Cranmer)
- • Random walks on hypergraphs (T. Carletti, F. Battiston, G. Cencetti, D. Fanelli)
- • The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (G. Marcus)
- • Deep Learning for Financial Applications: A Survey (A. M. Ozbayoglu, M. U. Gudelek, O. B. Sezer)
- • Serial Speakers: a Dataset of TV Series (X. Bost, V. Labatut, G. Linares)
- • Algorithmic Recourse: from Counterfactual Explanations to Interventions (A.-H. Karimi, B. Schölkopf, I. Valera)
ODSC West 2015 | Craig Sakuma - "Intro to Python for Data Science"
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