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: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Jason Brownlee Computational learning theory, or statistical learning theory, refers to mathematical frameworks for quantifying learning tasks and algorithms. These are sub-fields of machine […] 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: Adam Conner-Simons | MIT CSAIL Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated […] Read More
Author: AI and machine learning: Powering the next-gen enterprise CIO Go to Source
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: Machine-learning algorithms could help predict course of NPDR Ophthalmology Times Go to Source
Author: Jason Brownlee Data visualization provides insight into the distribution and relationships between variables in a dataset. This insight can be helpful in selecting data […] 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