Author: ajit jaokar I highly recommend the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth The report is free and […] Read More
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Author: ajit jaokar I highly recommend the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth The report is free and […] Read More
Author: mtdearing Intel Researchers created a new approach to RL via Collaborative Evolutionary Reinforcement Learning (CERL) that combines policy gradient and evolution methods to optimize, […] Read More
Author: William Vorhies Summary: More data means better models but we may be crossing over a line into what the public can tolerate, both in […] 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: mtdearing As Data Science is becoming pervasive across so many industries, Hollywood is certainly not being left behind. Learn about how Big Data, analytics, […] Read More
Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More
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