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Syllabus for CSC316 Machine Learning
News forum
How to Access the Library, Studios, and other CTL Services
NumPy Cheat Sheet
Pandas Cheat Sheet
Matplotlib Cheat Sheet
NumPy Tutorial: Your First Steps Into Data Science in Python
Using Pandas and Python to Explore Your Dataset
scikit-learn Tutorials¶
A Beginner’s Tutorial to Jupyter Notebooks
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Week 1
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Is this still the best book on Machine Learning?
Guide to reading Chapter 1
Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED
Exercise: Jupyter notebook
Guide to reading Chapter 2 (part 1)
Appendix B Machine Learning Project Checklist
Explore Data with Python (PDF)
Exercise: Jupyter notebook solution
Professor's slides for the Science Interest Group
Code and questions: California Housing Prices
Quiz 0: Questions and answers
Programming exercise: Friday, 11 February 2022
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Week 2
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Definitions and formulas from Chapter 3 (PDF)
"What is machine learning," an introduction from SAP
Golden State program (California Housing Prices)
Programming exercise: Tuesday, February 15, 2022
Programming exercise: Wednesday, February 16, 2022
Review on Wednesday, February 16, 2022
10 Best Stock Market Datasets for Machine Learning
The Night A Computer Predicted The Next President
Review on Thursday, February 17, 2022
Python programs for projects in Chapters 2 and 3 (zip file)
Project ideas and resources
Quiz 1
Target pregnancy story
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Week 3
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Support Vector Machine (SVM) in 2 minutes
Why You Should NOT Learn Machine Learning
How I Learnt Machine Learning in 6 Steps (3 Months)
Logistic Regression: An Introduction
StatQuest: Logistic Regression
Entropy (for data science) Clearly Explained!!!
Review questions for Monday, February 21, 2022
Fashion program source code (PDF)
Fashion program source code (Python *.py file)
Notes from Tuesday, February 22, 2022
Program for Wednesday, February 23, 2022
Review questions for Thursday, February 24, 2022
Quiz 2
What is Natural Language Processing?
What is Natural Language Processing? (with notes)
"Using artificial intelligence to find anomalies hiding in massive datasets"
IBM Watson: Final Jeopardy! and the Future of Watson
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Week 4
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Netflix Research: Machine Learning
The AI Behind Duolingo
Future of Making: AI, Machine Learning, and Generative Design (AutoDesk)
Charles Elkan, Goldman Sachs: Will Machine Learning Transform Finance?
Farm Forward: John Deere Innovation & Technology
Computer-Simulated Soybeans & Machine Learning for Seed Performance
Machine Learning: Using Algorithms to Sort Fruit
The Importance of Domain Knowledge
Presenting Machine Learning Model Results as Business Insights
Put Together a Machine Learning Presentation
Final Review
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