Advanced Introduction to Machine Learning | Winter 2023

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Professional Masters Program | University of Washington, Seattle

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Instructor - Dr. Karthik Mohan

TA - Ayush Singh

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Lectures and Lecture Notes

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Lecture Notes in Progress

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Lecture	Lecture Topic	Pre-Lecture Slides	Annotated Lecture Slides	Lecture Videos	Notebooks
1	Introduction	Lecture 1	Lecture 1	Video 1
2	Linear Regression	Lecture 2	Lecture 2	Video 2
3	Linear Regression and Overfitting	Lecture 3	Lecture 3	Video 3
4	Overfitting and SGD	Lecture 4	Lecture 4	Video 4
5	Binary and Multi-class Classification	Lecture 5	Lecture 5	Video 5
5	Features for Text	Lecture 5 Recorded	Lecture 5 Recorded	Video 5 (Recorded)
6	Decision Trees	Lecture 6	Lecture 6	Video 6
7	Random Forests and Clustering	Lecture 7	Lecture 7	Video 7	Ensembling Classifiers
8	kMeans Clustering	Lecture 8	Lecture 8	Video 8
9	Embeddings, Data Visualization	Lecture 9	Lecture 9	Video 9
10	Clustering, Embeddings, Dimensionality Reduction	Lecture 10	Lecture 10	Video 10
11	Embeddings and Anomaly Detection	Lecture 11	Lecture 11	Video 11
12	Anomaly Detection Algorithms	Lecture 12	Lecture 12	Video 12
13	Anomaly Detection and Deep Learning	Lecture 13	Lecture 13	Video 13
14	Deep Learning Fundamentals	Lecture 14	Lecture 14	Video 14
15	Deep Learning TensorFlow Demos and Auto Encoders	Lecture 15	Lecture 15	Video 15
16	NLP Applications and Transformers	Lecture 16	Lecture 16	Video 16	Paraphrasing Hugging Face 1 Paraphrasing Hugging Face 2
17	NLP Applications and Transformers	Lecture 17	Lecture 17	Video 17	Paraphrasing Hugging Face 1 Paraphrasing Hugging Face 2
18	Fine-tuning Transformers	Lecture 18	Lecture 18	Video 18	Paraphrasing Hugging Face 2
19	Sentence Transformers	Lecture 19	Lecture 19	Video 19	Paraphrasing Hugging Face 2

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