Course Schedule

29-May Synch	Introduction/Getting Started with Machine Learning Readings Ch 1: “The Machine Learning Landscape” in Géron, Aurélien. (2019). Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow’ O’Reilly Media, Inc. 3–31. Ch 1: “Introduction” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 1–25.
30-May Asynch	DataCamp Courses: Introduction to Python (If Needed) Intermediate Python (If Needed) Data Manipulation with pandas
3-June Synch	Inspecting Data Readings Ch 2: End-to-End Machine Learning Project. in Géron, Aurélien. (2019). Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow’ O’Reilly Media, Inc. 33–66.
4-June Asynch	DataCamp Course: Streamlined Data Ingestion with pandas
5-June Synch	Representing Data Readings Ch 4: “Representing Data/Engineering Features” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 213–55
6-June Asynch	DataCamp Course: Preprocessing for Machine Learning in Python
10-June Synch	Evaluation Methods Readings Ch 5: “Model Evaluation and Improvement” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 213–55
11-June Async	DataCamp Course: Supervised Learning with scikit-learn
12-June Synch	Supervised Learning (k-Nearest Neighbors and Linear Models) Readings Ch 2: “Supervised Learning” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 27–70 Videos password is course number (no spaces)
13-June AsynchProject 1 Due	DataCamp Course: Linear Classifiers in Python
17-June Sync	Supervised Learning (Naive Bayes Classifiers and Decision Trees, Support Vector Machines, and Uncertainty estimates from Classifiers)Readings Ch 2: “Supervised Learning” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 70–106 and 121–131 Videos password is course number (no spaces)
18-June Asynch	DataCamp Course Machine Learning with Tree-Based Models in Python
19-June No Class	Juneteenth
20-June Asynch	DataCamp Course Unsupervised Learning in Python
24-June SynchProject 2 Due	Unsupervised Learning (Dimensionality Reduction & Feature Extraction, and Manifold Learning) Ethics (Part One)Readings Ch 3: “Unsupervised Learning” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 133–170 Bostrom, Nick, and Eliezer Yudkowsky. (2014). “The ethics of artiﬁcial intelligence.” The Cambridge Handbook of Artiﬁcial Intelligence. 316–34. https://nickbostrom.com/ethics/artificial-intelligence.pdf Videos password is course number (no spaces)
25-June Async	DataCamp Course AI Ethics
26-June Synch	Unsupervised Learning (Clustering) Ethics (Part Two)Readings Ch 3: “Unsupervised Learning” in Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python, O’Reilly Media, Inc. 170–211 West, Sarah Myers, Meredith Whittaker, and Kate Crawford. (2019). “Discriminating systems: Gender, race and power in AI.” AI Now Institute, 1–33. https://ainowinstitute.org/publication/discriminating-systems-gender-race-and-power-in-ai-2 Videos password is course number (no spaces)
2-July Project 3 Due 12-July Final Project Due