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@@ -17,6 +17,8 @@ Have fun!
(You can also find the course syllabus on the last page of the course description.) (You can also find the course syllabus on the last page of the course description.)
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### Part 1: ### Part 1:
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- [ ] Answer [Quiz 2](https://forms.gle/uzdzytpsYf9sFG946) - [ ] Answer [Quiz 2](https://forms.gle/uzdzytpsYf9sFG946)
- [ ] Read the first part of the chapter ["ML Algorithms: Unsupervised & Supervised Learning"](https://franziskahorn.de/mlbook/_ml_algorithms_unsupervised_supervised_learning.html) - [ ] Read the first part of the chapter ["ML Algorithms: Unsupervised & Supervised Learning"](https://franziskahorn.de/mlbook/_ml_algorithms_unsupervised_supervised_learning.html)
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### Part 2: ### Part 2:
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- [ ] Read the section: ["Supervised Learning: Overview"](https://franziskahorn.de/mlbook/_supervised_learning_overview.html) - [ ] Read the section: ["Supervised Learning: Overview"](https://franziskahorn.de/mlbook/_supervised_learning_overview.html)
- [ ] Answer [Quiz 3](https://forms.gle/uzdzytpsYf9sFG946) - [ ] Answer [Quiz 3](https://forms.gle/uzdzytpsYf9sFG946)
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### Part 3: ### Part 3:
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- [ ] Work through [Notebook 5: MNIST with torch](/exercises/5_mnist_torch.ipynb) (recommended) **_or_** [MNIST with keras](/exercises/5_mnist_keras.ipynb) (in case others in your organization are already working with TensorFlow) - [ ] Work through [Notebook 5: MNIST with torch](/exercises/5_mnist_torch.ipynb) (recommended) **_or_** [MNIST with keras](/exercises/5_mnist_keras.ipynb) (in case others in your organization are already working with TensorFlow)
- [ ] Read the sections: ["Time Series Forecasting"](https://franziskahorn.de/mlbook/_time_series_forecasting.html) and ["Recommender Systems (Pairwise Data)"](https://franziskahorn.de/mlbook/_recommender_systems_pairwise_data.html) - [ ] Read the sections: ["Time Series Forecasting"](https://franziskahorn.de/mlbook/_time_series_forecasting.html) and ["Recommender Systems (Pairwise Data)"](https://franziskahorn.de/mlbook/_recommender_systems_pairwise_data.html)
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### Part 4: ### Part 4:
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##### Block 4.3: ##### Block 4.3:
- [ ] _Case Study!_ [Notebook 7: predicting hard drive failures](/exercises/7_hard_drive_failures.ipynb) (plan at least 5 hours for this!) - [ ] _Case Study!_ [Notebook 7: predicting hard drive failures](/exercises/7_hard_drive_failures.ipynb) (plan at least 5 hours for this!)
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#### Part 5: #### Part 5:
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- [ ] Read the whole chapter: ["Conclusion: Using ML in Practice"](https://franziskahorn.de/mlbook/_conclusion_using_ml_in_practice.html) - [ ] Read the whole chapter: ["Conclusion: Using ML in Practice"](https://franziskahorn.de/mlbook/_conclusion_using_ml_in_practice.html)
- [ ] Complete the exercise: ["Your next ML Project"](https://forms.gle/uzdzytpsYf9sFG946) - [ ] Complete the exercise: ["Your next ML Project"](https://forms.gle/uzdzytpsYf9sFG946)
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