Afshine Amidi (Ecole Centrale Paris, MIT) et Shervine Amidi (Ecole Centrale Paris, Stanford University) nous offre ici la traduction en français des cheatsheet du cours de machine learning de Stanford (https://stanford.edu/%7Eshervine/teaching/cs-229.html)
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Both models learn geometrical encodings (vectors) of words from their co-occurrence information (how frequently they appear together in large text corpora). They differ in that word2vec is a « predictive » model, whereas GloVe is a « count-based » mod…
Un Slideshare de Davender Gupta, Co-Founder and Venture Strategist at The Scaleup Project.
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What are the major stages of scaling a high-growth-potential, non-VC funded venture from market entry to market leadership, and what are the success criteria f…