This is a beginner-friendly coding-first online course on PyTorch - one of the most widely used and fastest growing frameworks for machine learning. This video covers the basic concepts in PyTorch viz. tensors & gradients, and walks through the process of implementing linear regression and gradient descent - the foundational algorithms in machine learning. Resources: 🔗 PyTorch Basics: 🔗 Linear Regression: 🔗 Machine Learning Intro: 🔗 Discussion forum: 🔗 Programming Assignment: Topics covered: ⌨️ Introduction to Machine Learning & Deep Learning ⌨️ PyTorch Basics: Tensors, Gradients & Autograd ⌨️ Linear
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