Author: Matt Mayo Editor Join industry leaders at Predictive Analytics World for Industry 4.0, 11-12 May, to broaden your knowledge, deepen your understanding, discuss your […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: William Vorhies Summary: If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some […] Read More
Author: Kubeflow 1.0 solves machine learning workflows with Kubernetes InfoWorld Go to Source
Author: Jason Brownlee Many binary classification tasks do not have an equal number of examples from each class, e.g. the class distribution is skewed or […] Read More
Author: Matt Mayo Editor Also: The Death of Data Scientists — will AutoML replace them?; Probability Distributions in Data Science; The Big Bad NLP Database: […] Read More
Author: AI and Machine Learning: Streamlining and Focusing Clinical Trial Recruitment BioSpace Go to Source
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: Jason Brownlee Cancer detection is a popular example of an imbalanced classification problem because there are often significantly more cases of non-cancer than actual […] Read More
Author: Vincent Granville The methodology described here has broad applications, leading to new statistical tests, new type of ANOVA (analysis of variance), improved design of […] Read More