Course Modules

Introduction

Introduction Introduction

Attachment

Lecture 1.pdf Lecture 1.pdf 1

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Attachment

01-introduction.ipynb 01-introduction.ipynb 2

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Attachment

iris_petal_sepal.png iris_petal_sepal.png 3

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Attachment

preamble.py preamble.py 4

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Supplementary Materials

Supplementary Materials Supplementary Materials

Attachment

supervised-learning.pdf supervised-learning.pdf 1

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Attachment

W1.2_Introduction - ProbML W1.2_Introduction - ProbML 2

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Attachment

Loss Functions.pdf Loss Functions.pdf 3

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Attachment

exmlp.py exmlp.py 4

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Lecture Materials

Lecture Materials Lecture Materials

Attachment

Lecture 2 - SL.pdf Lecture 2 - SL.pdf 1

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Attachment

02-supervised-learning.ipynb 02-supervised-learning.ipynb 2

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Attachment

SVM - Supplementary Reading (Lee).pdf SVM - Supplementary Reading (Lee).pdf 3

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Attachment

Tutorial on Deep Learning and Applications - Survey (Sengupta) Tutorial on Deep Learning and Applications - Survey (Sengupta) 4

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Attachment

Tensorflow Intro to NN.pdf Tensorflow Intro to NN.pdf 5

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Page

Class Example on MNIST Class Example on MNIST 6

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Assignment

Homework 1 Homework 1 100 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

Homework 2 Part 1 Homework 2 Part 1 200 8

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Assignment

Homework 2 Part 2 Homework 2 Part 2 200 9

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Page

Natural Language Processing and Transformers Natural Language Processing and Transformers 10

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Page

NLP Papers NLP Papers 11

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Page

Getting started with Transformer based models Getting started with Transformer based models 12

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Assignment

Homework 3 Homework 3 300 13

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Unsupervised Learning

Unsupervised Learning Unsupervised Learning

Page

Lecture 3 Lecture 3 1

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Attachment

03-unsupervised-learning.ipynb 03-unsupervised-learning.ipynb 2

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Deep Learning

Deep Learning Deep Learning

Page

Introduction, Tensorflow and CNN Introduction, Tensorflow and CNN 1

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Page

Transfer Learning and Finetuning Transfer Learning and Finetuning 2

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Attachment

Neural Networks for Tabular Data.pdf Neural Networks for Tabular Data.pdf 3

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Attachment

Neural Network for Images.pdf Neural Network for Images.pdf 4

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Page

RNN, Attention and Transformer RNN, Attention and Transformer 5

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Attachment

Neural Networks for Sequences.pdf Neural Networks for Sequences.pdf 6

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Tests

Tests Tests

Assignment

Test 1 Test 1 100 1

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Assignment

Test 1 Makeup (Dec 1 at 2pm) Test 1 Makeup (Dec 1 at 2pm) 0 2

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Assignment

Test 2 (take home) Test 2 (take home) 100 3

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Project

Project Project

Page

Guidelines Guidelines 1

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Page

Project Selection Project Selection 2

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Assignment

Proposal Submission Proposal Submission 100 3

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Page

Influential Papers You Must Read Influential Papers You Must Read 4

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Assignment

Mid-semester Project Checkin Mid-semester Project Checkin 100 5

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Page

Schedule of Presentations: Wed Dec 10 from 12pm on Zoom Schedule of Presentations: Wed Dec 10 from 12pm on Zoom 6

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Assignment

Presentation and Files Upload Box Presentation and Files Upload Box 800 7

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Interesting Reading Materials

Interesting Reading Materials Interesting Reading Materials

Attachment

Random Forest - Breiman.pdf Random Forest - Breiman.pdf 1

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Attachment

Rai - Ensemble Methods (Bagging and Boosting).pdf Rai - Ensemble Methods (Bagging and Boosting).pdf 2

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Page

Intuitive Videos Intuitive Videos 3

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete