Introduction to Machine Learning with Pytorch

Kaggle , Amazon Web Services and Amazon via Udacity Nanodegree

Udacity Nanodegree based on 248 ratings

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Overview

"Introduction to Machine Learning with PyTorch" is a hands-on course designed for beginners and intermediate learners who want to explore machine learning using the powerful PyTorch framework. This course offers a strong foundation in both theoretical concepts and practical implementations, making it ideal for aspiring data scientists, ML engineers, and AI enthusiasts. The course begins with core machine learning concepts such as supervised and unsupervised learning, model training, loss functions, optimization, and evaluation metrics. Learners then transition to PyTorch fundamentals, including...

Syllabus

Introduction to Machine Learning

Welcome to Machine learning with Pytorch

Supervised Learning

In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.

Introduction to Neural Networks with PyTorch

Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifieran application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.