Category: Data Science

Author: Vincent Granville You can download the new machine learning cheat sheet here (PDF format, 14 pages.)  Originally published in 2014 and viewed more than 200,000 times, […] 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: Manu J Also: Animations with Matplotlib; Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis; The 3 Biggest Mistakes on […] Read More

Author: William Vorhies Summary:  The ability to train large scale CNNs directly on your cell phone without send the data round trip to the cloud […] Read More

Author: Manu Jeevan Understanding Backpropagation as Applied to LSTM; How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks; AI in […] Read More

Author: Vincent Granville Many statistics, such as correlations or R-squared, depend on the sample size, making it difficult to compare values computed on two 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: Manu Jeevan If you are looking to transition your career to data science, don’t immediately start learning Python or R. Instead, leverage the domain […] Read More

Author: Stephanie Glen R-squared measures how well your data fits a regression line. More specifically, it’s how much variation in the response variable your linear model […] Read More

Author: Matt Mayo Editor Backpropagation is one of those topics that seem to confuse many once you move past feed-forward neural networks and progress to […] Read More