#YOLONAS #MachineVision #ObjectDetection Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins @JonKrohnLearns to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications. This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), by WithFeeling.ai (https://withfeeling.ai), the company bringing humanity into AI, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:04:57] What is machine vision? • [00:10:55] Object detection and YOLO architectures • [00:21:33] Deci's YOLO-NAS: Optimal object detection model architecture • [00:58:10] Developer Relations • [01:04:44] Harpreet's 'top-down' approach to learning Deep Learning Additional materials: https://www.superdatascience.com/693