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Ten Myths About Data Science

Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]

Domo Introduces a New Data Science Suite

According to a new press release, “Domo, provider of the leading cloud-based operating system for business, today introduced the Domo® Data Science Suite, a new offering that brings both basic and advanced data science capabilities directly into the Domo platform, making it simpler and faster to automatically deliver new insights directly to decision makers across […]

Data Science in 90 Seconds: Random Forest

Click to learn more about video blogger Laura Kahn. This is Lesson 10 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]

Datawatch Swarm Enables Self-Service Data Science

A recent press release reports, “A major issue facing enterprises today is how to leverage advanced and predictive analytics on a large scale while data scientist resources are scarce.  Datawatch Corporation today announced the release of Datawatch Swarm 2.2, which addresses that problem by delivering built in automation that connects data scientists with business analysts […]

Solving Knowledge Graph Data Prep with Standards

Click to learn more about author Dr. Jans Aasman. There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data […]

The Future of NLP in Data Science

According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]

Revisiting the Data Science Suitcase

Click to learn more about author Steve Miller. Two years ago, I wrote a blog entitled “What Size is Your Suitcase?” in which I recounted a holiday shopping “dilemma” my wife and I experienced  as we purchased mutual gift suitcases. The muddle revolved on which size bags to buy – large ones that could handle […]