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Neural networks were first thought of in the 1940s, but it wasn't until the early turn of the 21st century that they started to be recognized for their worth. Why?
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Learn to create a simple computer vision model from just a few lines of code, to separate images of cats from dogs.
Learn what a dataloader is in the AI, what it does, its parameters, and how to use it!
Learn what a datablock is in the AI, what it does, its parameters, and how to use it!
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This course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. There are 9 lessons, and each lesson is around 90 minutes long.
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This course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. There are 9 lessons, and each lesson is around 90 minutes long.
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This course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. There are 9 lessons, and each lesson is around 90 minutes long.
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Learn the basic concepts behind machine learning
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Learn the history underlying this field. In this lesson, we will walk through the major milestones in the history of machine learning and artificial intelligence.
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What are the important philosophical issues around fairness that students should consider when building and applying ML models?
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What techniques do ML researchers use to build ML models?
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Get started with Python and Scikit-learn for regression models
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Visualize and clean data in preparation for ML
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn the basic concepts behind machine learning
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Learn to create a simple text semantic classification model from just a few lines of code to classify real movie reviews as positive or negative.
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Learn to train imagenette using FastAI
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Learn to create a transformer model using FastAI
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