[R] Stochastic Graphlet Embedding

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Joint work of Dr. Anjan Dutta (CVC, UAB, Barcelona) and Dr. Hichem Sahbi (LIP6, UPMC, Paris) on "Stochastic Graphlet Embedding" is published in IEEE TNNLS. An efficient and robust graph embedding technique that encode the distribution of increasing sized graphlets with stochastic graph parsing and hashing: https://ieeexplore.ieee.org/document/8587135. ​ Overview of […]

Comment se former au Machine Learning

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Le Machine learning est un domaine très important et super intéressant ! Dans cette vidéo, je vous partage mon approche pour vous former dans le domaine. #MachineLearning #IntelligenceArtificielle Discord de la communauté : https://discord.gg/8Fyzc8V Programme de 3 mois pour se former: https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months Coursera, Machine Learning avec l’University of Washington: https://www.coursera.org/specializations/machine-learning […]

Learning Predictive Analytics With Python, Analyzing Election Data With Pandas [Python Statistics]

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IN this Exploratory Data Analysis Tutorial, We perform predictive analytics with python by analyzing Election data from 2 candidates. Pandas data Analysis Techniques are used to learn about patterns in the election data. This is a Part of Python with Statistics Tutorial series. 🔷🔷🔷🔷🔷🔷🔷 Jupyter Notebooks and Data Sets for […]