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Setup |
Download files required for the lesson |
00:00 |
1. Introduction
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What is machine learning?
What role does machine learning have in particle physics?
What should I do if I want to get good at machine learning?
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00:00 |
2. Mathematical Foundations
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What is the common terminology in machine learning?
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00:00 |
3. Resources
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Where should I go if I want to get better at python?
What are the machine learning libraries in python?
Where should I go if I want to get better at machine learning?
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00:10 |
4. Data Discussion and Preprocessing
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What dataset is being used
How must we organize our data such that it can be used in the machine learning libraries?
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00:25 |
5. Model Training
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How does one train machine learning models in python?
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00:45 |
6. Model Comparison
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How do you use the sci-kit learn and tensorflow packages for machine learning?
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01:05 |
7. Neural Networks
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What is a neural network?
How can I visualize a neural network?
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01:15 |
Finish |
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The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.