Boost Performance of Text Classification tasks with Easy Data Augmentation by Satyam Kumar via @TDataScience

Text data augmentation for NLP tasks.

Interesting thoughts and definitely something to try.

WEBINAR: Augmented Analytics for Today’s Business User - 7 May 2020

Data Science Central Webinar Series Event

Augmented Analytics for Today’s Business User Join us for the latest DSC Webinar on May 7th, 2020 Augmented Analytics is no longer the future – it's now. The next generation of BI and analytics is here, and it relies heavily on AI. But with all the hype, there’s confusion about how to move forward. All too often, companies choose one-size-fits-all approaches or rely too heavily on closed, “black-box” algorithms to stand in for people. Instead, machine intelligence should work together with human intuition to unlock the best possible decision-making for people of all skill levels. In this latest Data Science Central webinar, experts from Qlik will share the latest AI-powered capabilities that enable both user-driven analytics and the democratization of data science. Attendees will get a first-hand look at: How AI accelerates value for all users by suggesting insights, automating tasks and supporting natural language interaction How organizations can deliver the power of data science and predictive models to business decision-makers in a simple, interactive way Demonstrations featuring Qlik’s augmented analytics capabilities, powered by our unique Associative and Cognitive Engines Featured Speakers: Chris Mabardy, Senior Director of Product Marketing -- Qlik Steven Pressland, Senior Product Manager of Augmented Intelligence -- Qlik Hosted by: Sean Welch, Host & Producer -- Data Science Central   Title:  Augmented Analytics for Today’s Business User Date:  Thursday, May 7th, 2020 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Scale the value of analytics by Rita Sallam and Carlie Idoine.via @Gartner_inc

Manually identifying patterns in the quantities of data most organizations have is not just tedious; it’s inefficient. It’s also much too easy to find only what you were looking for—missing valuable, but unanticipated, insights. Augmented analytics uses ML and AI techniques to identify actionable insights.

Brief if you are not a subscriber but interesting to read.