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
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
With the current generation of data scientists working tirelessly to satisfy the accelerating demand for data-driven insights on behalf...
Proven, standardized methodology for data science that folds into standard IT practices (such as SDLCs and DevOps) is the...
- Learn Interpretability for Data Science 69 views | by Rajiv Shah | under Conferences, Featured Post
- The Importance of P-Values in Data Science 38 views | by Daniel Gutierrez, ODSC | under Modeling, Statistics
- Using Outcome-Driven AI to Avoid Fake ROI Traps 36 views | by Marcelo Rinesi | under Accelerate AI