Category: Data Science

Author: Gregory PS Editor Approaches to Text Summarization: An Overview; How to Learn Python for Data Science the Right Way; The biggest mistake you can […] Read More

Author: Marco Tavora In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a […] Read More

Author: mtdearing As AI progresses and the technology becomes more sophisticated, we expect existing techniques to evolve. With these changes, will the well-founded natural language […] Read More

Author: Andrea Manero-Bastin This article was written by Alex Rosenblat in the New York Times Opinion.  There are nearly a million active Uber drivers in […] Read More

Author: Gregory PS Editor This webinar will present a step-by-step use case so you can build your own AutoML computer vision pipelines, and will go […] Read More

Author: steve miller After posting my most recent blog using census data to illustrate handling “large” dataframes in R exploiting fst and feather file formats, I realized I could […] Read More

Author: mtdearing As a relatively new position, the day in the life of a machine learning engineer or data scientist is still a bit fluid. […] Read More

Author: William Vorhies Summary:  The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the […] Read More

Author: /u/AutoModerator Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: ajit jaokar AI bias is in the news – and it’s a hard problem to solve   But what about the other way round? […] Read More