Learn Machine Learning with PyTorch – Udacity
Learn Machine Learning with PyTorch – Udacity
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Get new skills in this Intro to Machine Learning with PyTorch
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects. The course is in collaboration with Kaggle and AWS.
This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.
LinkedIn ranked AI Specialist as the #1 Emerging Job in 2020, with 74% annual job growth.
Machine Learning with PyTorch Nanodegree Course Overview:
Supervised Learning
- In this lesson, you will learn about supervised learning, a common class of methods for model construction.
Deep Learning
- In this lesson, you’ll learn the foundations of neural network design and training in PyTorch.
Unsupervised Learning
- In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.
Features of Udacity Nanodegrees:
- Real-World Projects from Industry Experts
- Technical Mentor Support
- Project Feedback from experienced reviewers
- Flexible Learning Programs
- Technical Mentor Support
- Student Community
How long to learn Machine Learning with PyTorch?
According to Udacity, it will take approximately three months to complete this Nanodegree.
How much does the Intro to Machine Learning with PyTorch Nanodegree Cost?
If you pay as you go, Udacity will be a $399 investment per month, but if you get the 3 months course package, you can save 15% on total course price to $1017. Udacity also offers financing options.