Awesome PyTorch Scholarship Resources
A collection of awesome PyTorch and Python learning resources.
Contributions are always welcome!
Courses that can you take alongside PyTorch scholarship course both Python and Machine Learning
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Coursera' Machine Learning Course by Stanford
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Coursera' Deep learning Specialization taught by Andrew Ng
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Linear Algebra refresher course from Udacity
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Introductory courses(few hours each) about Python, ML, Pandas Data Visualisation, SQL, R, Deep Learning, Embeddings, and ML Explainability
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Linear algebra lectures from Gilbert Strang (very great lectures
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Pytorch course - basics are very well explained such as tensors and common operations
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A Practical Introduction to deep learning
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Intro To machine learning by MIT professors.
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Practical deep learning course. For later on in the challenge, when everyone is comfortable with PyTorch
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2-Day Python course for Python beginners
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Linear algebra
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mlcourse.ai is an open Machine Learning course by OpenDataScience. The course is designed to perfectly balance theory and practice; therefore, each topic is followed by an assignment with a deadline in a week.
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François Fleuret course on DL with Pytorch at EPFL
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Free, interactive, intuitive Python tutorials
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EDX - Deep Learning with Python and PyTorch
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EDX - Introduction to Python: Fundamentals
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EDX - Introduction to Python: Absolute Beginner
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Udemy - Machine Learning MasterClass
Content published on the Web.
Walkthroughs and tutorials that help you learn ML and PyTorch.
Books - free and commercial
An assortment of conference and training videos.