2016, Experimentation, Optimization and Predictive Modeling

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016.

IoT

IoT Big Data Data Warehouse Uncertainty

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

AUGUST 22, 2019

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. s lead may not be the optimal choice. Natural Language Processing.] Joulin, A.,

Deep Learning

Deep Learning Modeling Metrics Testing

Data Leaders Brief

Topics to watch at the Strata Data Conference in New York 2019

Deep Learning Illustrated: Building Natural Language Processing Models

Webinars

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