Category: Data Science

Author: Andrea Manero-Bastin This article was written by Alberto Quesada.   The procedure used to carry out the learning process in a neural network is […] Read More

Author: Gregory PS Editor Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a […] Read More

Author: mtdearing For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview […] Read More

Author: Matt Mayo Editor One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection […] Read More

Author: William Vorhies Summary:  AI/ML itself is the next big thing for many fields if you’re on the outside looking in.  But if you’re a […] Read More

Author: /u/datascience-bot Bleep Bloop. Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into […] 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: Matt Mayo Editor ODSC West comes to San Francisco on Oct 29 – Nov 1. With over 300 hours of content, 200+ speakers, and […] Read More

Author: Stephanie Glen P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid […] Read More

Author: Matt Mayo Editor Watch UChicago Master of Science in Analytics capstone projects unfold in Real Data, Big Impact and see how students collaborate with […] Read More