LinkedIn – Computer Vision for Data Scientists 2023-10

LinkedIn – Computer Vision for Data Scientists 2023-10 Downloadly IRSpace

Apr 17, 2025 - 20:32 Updated: Aug 17, 2025 - 15:26

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LinkedIn – Computer Vision for Data Scientists 2023-10

Computer Vision for Data Scientists course. This comprehensive course will help you understand computer vision, one of the hottest areas of technology today. Course instructor Harpreet Sehota will teach you the history and evolution of this growing industry and build your knowledge on convolutional neural networks, network training, deep learning models for image classification tasks, transfer learning with pre-trained models, and more. promotes You will be introduced to the wide range of capabilities offered by the flexible SuperGradients training library that will allow you to shorten and simplify the model development lifecycle. Throughout the course, Harprit provides practical insights into how to train models and networks more effectively using advanced techniques such as exponential moving average, weighted average, batch stacking, and BatchNorm. Note: This course requires basic knowledge of machine learning as well as experience with Python and PyTorch.

What you will learn

Getting to know the history and developments of computer vision
Deep understanding of convolutional neural networks
Learning how to train computer vision networks
Using deep learning models for image classification tasks
Introduction to transfer learning with pre-trained models
Using the SuperGradients library to train computer vision models
Train models and networks more effectively using advanced techniques

This course is suitable for people who:

Data scientists who want to improve their skills in computer vision
Machine learning engineers looking to learn how to build computer vision models
Anyone interested in learning more about one of the hottest areas of technology today