The use of complex neural networks is now almost common practice in machine learning — and applications of deep learning are now regularly portrayed in the popular media. But Dr. Data Science believes they may be over-used. We’ve seen them applied to data sets and use cases that are better suited to simpler (and more transparent and more accurate) models. In this inaugural session of Dr. Data Science, we survey a number of ‘classification’ applications and review the pros and cons of deep neural networks versus other models like logistic regression or random forest.
What is Dr. Data Science?
Dr. Data Science is an interactive presentation aimed at helping new and advanced practitioners of data science and machine learning. The program is hosted by experts from our Data Science and Customer Success teams, including veterans from the world of advanced analytics and architects of the TIBCOⓇ Data Science platform. The program consists of two parts:
- Office Hours: Monthly 30-minute live webinars to help everyone navigate best practices and technologies in the world of data science
- Info Gain: A tidbit of useful information for everyday data science, based on the most popular questions submitted to the TIBCO Community for Data Science
- Feature Sessions: The main presentation, featuring extended topics and unique challenges in advanced analytics and machine learning
- Quick Tips: Weekly 5-10 minute YouTube videos to help users with day-to-day recommendations for TIBCO Data Science software.
During the feature session webinars, attendees are invited to participate in a live Q&A on the session’s topic. For questions outside the feature session topic, users may ask directly in the TIBCO Community “Answers” section and tag with #DrDataScience.
All feature session and quick tip videos are published to the TIBCO Data Science YouTube Channel. Subscribe to it and stay updated with new content!