Upload Final Project Slides Here:

Google Drive Folder

Post-Program Survey

Link

Upload your Mini-Project Slides Here

Google Drive Folder

Instructor contact info:

https://github.com/ajn313/NYU2023SummerML1/blob/main/Instructor_Contact_Info.txt

Further Learning Resources

Resource Links including in-depth crash courses

YouTube Content:

1. YOLO-V2 video ⬇️

• YOLO v2

2. Python porgramming (start from video 2 since we're using Colab) ⬇️

• Python programming

3. Linear Algebra ⬇️

• Linear Algebra

Khan Academy:

1. Matrix Multiplication:

• Article

2. Partial Derivatives (for Gradient Descent):

• Article

Summer ML3 Groups:

Link

Pre-Program Survey:

Discord Server:

https://discord.gg/yRFXpah7w2

Icebreaker dataset:

Spreadsheet Link

Day 1 Intro to ML & Matrices

• Slides
• Basics of Python Lab
• Basics of Vectors and Matrices Lab

Day 2 Linear Regression

• Slides
• demo_Vectorized_Programming
• demo_multilinear
• demo_plot
• demo_icebreaker_movie
• demo_boston_housing_one_variable.ipynb
• lab_robot_arm

Day 3 Overfitting and Regularization

• Slides
• demo_fit_polynomial
• demo_overfitting_regularization

Day 4 Linear Classification

• Slides
• demo_breast_cancer
• demo_iris

Day 5 Midproject Presentation

• Slides
• fish market datasets

Day 6 Neural Networks

• Slides
• demo_tf_keras
• fish_mkt

Day 7 Convolutional Neural Networks

• Slides
• Image_in_Computer_Demo
• Kernels_demo
• cnn_exmaples
• demo_MNIST
• trans_learning_lab

Day 8 Further with ML/DL

• Slides

Day 9 Final Presentation

• Slides