
About this episode

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples from which to train systems. To address the needs for large quantities of high quality data, vendors have emerged to provide computer-generated data, known as synthetic data, that matches the range and quality of data needed to train systems.
Continue reading AI Today Podcast: Overview of Synthetic Data at Cognilytica.
Get every episode summarized
Each time AI Today Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from AI Today Podcast

AI as Your New Team Member: Scaling with Confidence – with Michael Joyce
AI Today Podcast

Turn AI into Action — Practical Wins with CP Richardson
AI Today Podcast

Balancing AI and Human Expertise in Professional Certification Training – with C...
AI Today Podcast

AI Project Management in the Pharmaceutical Industry – with Sumathi Arcot
AI Today Podcast