Word Embedding and Natural Language Processing
ModelingNLP/Text AnalyticsNatural Language Processingword embeddingposted by Mayank Kejriwal February 26, 2019
Editor’s note: Check out Mayank’s talk at ODSC East 2019 this April 30 to May 3 in Boston, “Let’s Embed Everything!“ Researchers who work with the nuts and bolts of deep neural networks (or even shallow neural networks, like skip-gram) know that the success of these methods can be attributed in no... Read more
A Research-Oriented Look at the Evolution of Word Embedding: Part II
ModelingNLP/Text AnalyticslanguageNLPword embeddingposted by Kaylen Sanders, ODSC August 17, 2018
This article is the second article in a two-part series about the evolution of word embedding as told through the context of five research papers. It picks up in midst of the 1990s. To view the first article, click here. A Shift Towards Automatic Feature Generation: Latent Dirichlet Allocation... Read more
Best Machine Learning Research of 2019
Academic Researchposted by Daniel Gutierrez, ODSC Dec 13, 2019
The field of machine learning has continued to accelerate through 2019, moving at light speed with compelling new results...
Machine Learning for Education: Benefits and Obstacles to Consider in 2020
EducationAccelerate AIposted by ODSC Community Dec 12, 2019
Want to learn more about how you can use machine learning for education within your organization? Attend ODSC East...
How I Applied Machine Learning to Real Life for Planning My Trip to Hong Kong
k-medoidsMachine Learningposted by Juan De Dios Santos Dec 11, 2019
Oh, yes, the joy of traveling. Walking unknown paths, eating strange and weird-looking food, and getting lost in the...
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