Category: Data Science

Author: Kevin Mekulu Summary Anyone can learn quantitative trading. You don’t need to have a PhD in Quantum Astrophysics to create quantitative trading systems or […] Read More

Author: Gregory PS Editor Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild; How to Evaluate the Performance of Your Machine Learning Model; Deep Learning […] Read More

Author: Sharmistha Chatterjee Source Comprehensive and Comparative List of Feature Store Architectures for Data Scientists and Big Data Professionals Introduction & Motivation – Why Feature […] Read More

Author: Gregory PS Editor Also: A Layman’s Guide to Data Science. Part 3: Data Science Workflow; The Bitter Lesson of Machine Learning; Free MIT Courses […] Read More

Author: Matt Mayo Editor The HOSTKEY GPU Grant Program is open to specialists and professionals in the Data Science sector performing research or other projects […] Read More

Author: /u/datascience-bot 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: 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: Kevin Mekulu Summary Monte Carlo simulation is one of the most important algorithms in quantitative finance Monte Carlo simulation can be utilized as an […] Read More

Author: Matt Mayo Editor A single source of truth provides stakeholders with a clear picture of the enterprise assets and the potential complications that can […] Read More

Author: Robert R. Tucci Elias Bareinboim I recently wrote a popular article on Causal AI. (link)  See also this nice list of recent Causal AI […] Read More