Posts by tag

Dataset

4 posts
View Post

Faster Together: How Dun & Bradstreet Datasets Accelerate Your Real-Time Insights

At the third annual Google Data Cloud and AI Summit, we shared how data analytics and insights continue to be a key focus area for our customers and how we’re accelerating their data journeys through new product innovations and partner offerings.  A big part of that is helping customers turn their data into insights faster using differentiated datasets from partners and integrating them into their AI/ML workflows. We recently announced our partnership with Crux to add over 1,000 new datasets on Analytics Hub to provide customers with access to a rich ecosystem of data to enrich first-party data assets and accelerate time to value and…
View Post
Share
View Post

How To Handle Imbalanced Data In Machine Learning Classification

In this tutorial, you’ll learn about imbalanced data and how to handle them in machine learning classification in Python. Imbalanced data occurs when the classes of the dataset are distributed unequally. It is common for machine learning classification prediction problems. An extreme example could be when 99.9% of your data set is class A (majority class). At the same time, only 0.1% is class B (minority class). Suppose you throw such data directly into machine learning algorithms. You may find the model ‘ignores’ the minority class and gives wrong predictions of it. It is frustrating since the goal is often to predict the minority…
View Post
Share
View Post

How To Train Computers Faster For ‘Extreme’ Datasets

A new approach could make it easier to train computer for “extreme classification problems” like speech translation and answering general questions, researchers say. The divide-and-conquer approach to machine learning can slash the time and computational resources required. Online shoppers typically string together a few words to search for the product they want, but in a world with millions of products and shoppers, the task of matching those unspecific words to the right product is one of the biggest challenges in information retrieval. The researchers will present their work at the 2019 Conference on Neural Information Processing Systems in Vancouver. The results include tests…
View Post
Share
View Post

How To: Perform Tests for Normality in R

Normality is one assumption that you will typically encounter in statistical methods that you will employ. A lot of the tests that were created have an underlying assumption that your data is normal. A large number of parametric tests assume normality of data. Ordinary least squares regression assumes it for its error terms, too. You can diagnose your data for normality in the statistical programming language R. The companion software, RStudio, will make everything easier for you. The good news is, you can do it for free. If you are an Ubuntu user, here’s how to install R. Requirements To perform…
View Post
Share