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intro_to_ML_DSC6135

Introduction Schedule Activities Presentations Resources

Schedule

Date Assignments Lecture
Topics and Slides
Practicals Supplemental,
Readings and Demos
27/June/2019 HW0 00_intro to ML 01_regression   intro_numpy.ipynb
00_review_notes.pdf
Section 2.3 of ESL Book
28/June/2019 HW1 02_generalization lab_generalization Chap.3 Bishop
Chap.7 ESL
1/July/2019     ideathon Chap.3 Bishop
2/July/2019 HW2
due: HW1 (midnight)
03_classification lab_classification Section 4.1 Bishop
Section 4.3 Bishop
3/July/2019   04_neural_networks   external_demo
4/July/2019 HW3   hackathon (4-8pm)  
5/July/2019 due: HW2 (midnight) 05_model_inspection lab_model_inspection further_reading1
further_reading2
8/July/2019 HW4
due: HW3 (midnight)
06_neural_networks_part2 lab_NN_regression lab_NN_classification ext_link
optimizers
9/July/2019   07_bayesian_inference 07_labs_bayesian  
10/July/2019 HW5 (+)
due:HW4 (midnight)
08_clustering 08_lab_clustering demo_kmeans
11/July/2019   09_advanced_ML_topics   lecture_pca
lab_pca
12/July/2019 Presentation   presentations 10_ethics
Git tutorial
  (+) due: HW5 on 14/July/2019 midnight