Lecture

1. Recommended Installation (Anaconda)

2. National Research Platform (NRP) - JupyterHub

3. 📝 Visual Introduction to ML

4. 📝 Overfitting

5. 📝 Supervised Learning with Support Vector Machines (SVMs)

6. 📝 🔍 Unsupervised Learning: K-Means Clustering in Engineering

7. 📝 Dimensionality Reduction Using PCA: The Eigenfaces Example

8. 📝 Pytorch Quickstart, a deep learning framework for Python 🤖

9. 📝 What is a neural network

10. 📝 Training a Classifier 🤖📚

11. 📝 🌐 NLP From Scratch: Translation with a Sequence to Sequence Network and Attention 🌐

12. 🗓️📚 Week 10: Attendance ✅