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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 […]

Building an Effective Data Science Team

Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]

2018 DATAVERSITY Mid-Year Top 20

It’s halfway through 2018 and time once again to post the Top 20 pieces of content published and consumed by you, the community, within the last year. What are people reading, sharing, and discussing? So, what’s happening on the list? Machine Learning continues to hover towards the top and makes a couple of appearances. No […]

Data Science Collaboration: How to Centralize Data Science to Power Organizations

Domino Data Lab provides a Data Science platform that empowers organizations to drive their business through the use of predictive models. The platform accelerates breakthrough research and increases collaboration and productivity of data scientists. The company was founded in 2013 and is based in San Francisco. Organizations can use Domino Data Lab on-premises or in […]

2017 DATAVERSITY Top 20

The Top 20 Posts of the year are here! As one year comes to an end and another about to begin, it’s a tradition here at DATAVERSITY to take a moment to pause and review the content published over the year by our writers and by the Industry Experts who contribute their thoughts and experiences. […]

Data Science Trends in 2018

The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. The Dataconomy […]

Overview of the Newest Trends in Data Science Education: Academic and Work-Based Programs

In spite of significant efforts to train more Data Scientists, a shortage continues to exist. There is simply more demand than available applicants for this new career field. Data Science education is a growing field requiring both training and hands-on experience. Some have gained an understanding of Data Science through non-academic experience, while others have […]