Category: Data Science

Author: ajit jaokar Overview of changes TensorFlow 1.0 vs TensorFlow 2.0 Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the […] Read More

Author: Gregory PS Editor Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn’t getting hired as a Data […] Read More

Author: Matt Mayo Editor AI World Conference & Expo has become the industry’s largest independent business event focused on the state of the practice of […] Read More

Author: Matt Mayo Editor Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning […] Read More

Author: William Vorhies Summary:  Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off […] 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: steve miller I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my […] Read More

Author: Gregory PS Editor This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical […] Read More

Author: ajit jaokar The explanation of Logistic Regression as a Generalized Linear Model and use as a classifier is often confusing. In this article, I […] Read More

Author: Matt Mayo Editor Whether it’s demand forecasting, supply chain management, or any other application, getting it right requires balancing the need for performance with […] Read More