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Expand Collapse General Highlighted
  • 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
Expand Collapse Week 1 Highlighted
  • 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
Expand Collapse Week 2 Highlighted
  • 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
Expand Collapse Week 3 Highlighted
  • 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
Expand Collapse Week 4 Highlighted
  • 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
  1. TofImp
  2. Week 2
  3. Interesting Android 4.3 post from Dianne Hackborn

Interesting Android 4.3 post from Dianne Hackborn

Completion requirements

On Google+

Click on Interesting Android 4.3 post from Dianne Hackborn to open the resource.
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